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ORCIDInternational Journal of Imaging Systems and Technology, Volume 31
Volume 31, Number 1, March 2021
- Saban Öztürk
, Umut Özkaya, Mücahid Barstugan:
Classification of Coronavirus (COVID-19) from X-ray and CT images using shrunken features. 5-15 - Tongxue Zhou, Stéphane Canu, Su Ruan:
Automatic COVID-19 CT segmentation using U-Net integrated spatial and channel attention mechanism. 16-27 - Deepika Selvaraj, Arunachalam Venkatesan, Vijayalakshmi G. V. Mahesh, Alex Noel Joseph Raj:
An integrated feature frame work for automated segmentation of COVID-19 infection from lung CT images. 28-46 - Junbang Feng, Yi Guo, Shike Wang, Feng Shi, Ying Wei, Yichu He, Ping Zeng, Jun Liu, Wenjing Wang, Liping Lin, Qingning Yang, Chuanming Li, Xinghua Liu:
Differentiation between COVID-19 and bacterial pneumonia using radiomics of chest computed tomography and clinical features. 47-58 - Ravitha Rajalakshmi N, Vidhyapriya Ranganathan, Elango N, Nikhil Ramesh:
Deeply supervised U-Net for mass segmentation in digital mammograms. 59-71 - Yongwon Cho, Sang Min Lee, Young-Hoon Cho, June-Goo Lee, BeomHee Park, Gaeun Lee, Namkug Kim, Joon Beom Seo:
Deep chest X-ray: Detection and classification of lesions based on deep convolutional neural networks. 72-81 - Abdurrahim Akgundogdu:
Detection of pneumonia in chest X-ray images by using 2D discrete wavelet feature extraction with random forest. 82-93 - Safdar Ali, Mehdi Hassan, Muhammad Saleem, Syed Fahad Tahir:
Deep transfer learning based hepatitis B virus diagnosis using spectroscopic images. 94-105 - Reema Ganotra, Shirin Dora, Shailender Gupta:
Identifying brain regions contributing to Alzheimer's disease using self regulating particle swarm optimization. 106-117 - Balakumaresan Ragupathy, Manivannan Karunakaran:
A deep learning model integrating convolution neural network and multiple kernel K means clustering for segmenting brain tumor in magnetic resonance images. 118-127 - Narges Manouchehri, Nizar Bouguila, Wentao Fan:
Nonparametric variational learning of multivariate beta mixture models in medical applications. 128-140 - Soraya Zehani, Abdeldjalil Ouahabi, Mourad Oussalah, Malika Mimi, Abdelmalik Taleb-Ahmed:
Bone microarchitecture characterization based on fractal analysis in spatial frequency domain imaging. 141-159 - Mehwish Iqbal, Muhammad Mohsin Riaz, Abdul Ghafoor, Attiq Ahmad:
A vessel segmentation technique for retinal images. 160-167 - Shweta Saxena, Sanyam Shukla, Manasi Gyanchandani:
Breast cancer histopathology image classification using kernelized weighted extreme learning machine. 168-179 - Chun-Ming Chen, Hui-Chieh Yang, Hsin-hua Hsieh, Tsai-Ying Liao, Yen-Chih Huang, Shin-Lei Peng:
Characterization of regional differences in cerebral vascular response to breath holding using BOLD fMRI. 180-188 - Amirreza Geran Malek, Mojtaba Mansoori, Hesam Omranpour:
Random forest and rotation forest ensemble methods for classification of epileptic EEG signals based on improved 1D-LBP feature extraction. 189-203 - Wei Li, Qinyong Lin, Keqiang Wang, Ken Cai:
Improving medical image fusion method using fuzzy entropy and nonsubsampling contourlet transform. 204-214 - Aijing Li, Yuning Pan, Bin Chen, Rong Huang, Jianbi Xia, Yinhua Jin, Jianjun Zheng:
Evaluation of quantitative dynamic contrast-enhanced (DCE)-MRI parameters using a reference region model in invasive ductal carcinoma (IDC) patients. 215-222 - M. Sumithra, S. Malathi:
Modified Global Flower Pollination Algorithm-based image fusion for medical diagnosis using computed tomography and magnetic resonance imaging. 223-235 - Samina Khalid, Muhammad Usman Akram, Tehmina Shehryar, Waqas Ahmed, Marium Sadiq, Mahak Manzoor, Nelam Nosheen:
Automated diagnosis system for age-related macular degeneration using hybrid features set from fundus images. 236-252 - Ekta Shivhare, Vineeta Nigam Saxena:
Breast cancer diagnosis from mammographic images using optimized feature selection and neural network architecture. 253-269 - P. Mathivanan, A. Balaji Ganesh:
ECG steganography based on tunable Q-factor wavelet transform and singular value decomposition. 270-287 - Linda Ait Mohamed, Assia Cherfa, Yazid Cherfa, Noureddine Belkhamsa, Fatiha Alim-Ferhat:
Hybrid method combining superpixel, supervised learning, and random walk for glioma segmentation. 288-301 - Asma Daly, Hedi Yazid, Basel Solaiman, Najoua Essoukri Ben Amara:
Multiatlas-based segmentation of female pelvic organs: Application for computer-aided diagnosis of cervical cancer. 302-312 - Wei Xiao, Qian Gao, Rahul Kumar, C. L. Edwin Yu, Y. E. Janice Ho, Fatima Rashid Sheykhahmad:
Implementation of convolutional neural network categorizers in coronary ischemia detection. 313-326 - Rukiye Nur Kaçmaz, Bülent Yilmaz, Zafer Aydin:
Effect of interpolation on specular reflections in texture-based automatic colonic polyp detection. 327-335 - Kalaiselvi Thiruvenkadam, Kalaichelvi Nagarajan:
Fully automatic brain tumor extraction and tissue segmentation from multimodal MRI brain images. 336-350 - Sonali Dash, Manas Ranjan Senapati, Pradip Kumar Sahu, P. S. R. Chowdary:
Illumination normalized based technique for retinal blood vessel segmentation. 351-363 - Jingyu Hu, Xiaojing Gu, Xingsheng Gu:
Dual-pathway DenseNets with fully lateral connections for multimodal brain tumor segmentation. 364-378 - Balakumaresan Ragupathy, Manivannan Karunakaran:
A fuzzy logic-based meningioma tumor detection in magnetic resonance brain images using CANFIS and U-Net CNN classification. 379-390 - Yanyu Liu, Ruichao Hou, Dongming Zhou, Rencan Nie, Zhaisheng Ding, Yanbu Guo, Li Zhao:
Multimodal medical image fusion based on the spectral total variation and local structural patch measurement. 391-411 - Marui Shen, Jincheng Li, Tao Zhang, Jian Zou:
Magnetic resonance imaging reconstruction via non-convex total variation regularization. 412-424 - Hong Fang, Hongyu Fan, Shan Lin, Zhang Qing, Fatima Rashid Sheykhahmad:
Automatic breast cancer detection based on optimized neural network using whale optimization algorithm. 425-438 - Huiyi Hu, Wenfang Zheng, Xu Zhang, Xinsen Zhang, Jiquan Liu, Weiling Hu, Huilong Duan, Jianmin Si:
Content-based gastric image retrieval using convolutional neural networks. 439-449
Volume 31, Number 2, June 2021
- Jahmunah Vicnesh, K. Vidya Sudarshan, Shu Lih Oh, Raj Gururajan, Rashmi Gururajan, Xujuan Zhou, Xiaohui Tao, Oliver Faust, Edward J. Ciaccio, Kwan Hoong Ng, U. Rajendra Acharya:
Future IoT tools for COVID-19 contact tracing and prediction: A review of the state-of-the-science. 455-471 - Mohamed A. El-Dosuky, Mona M. Soliman, Aboul Ella Hassanien:
COVID-19 vs influenza viruses: A cockroach optimized deep neural network classification approach. 472-482 - Vijaypal Singh Dhaka, Geeta Rani, Meet Ganpatlal Oza, Tarushi Sharma, Ankit Misra:
A deep learning model for mass screening of COVID-19. 483-498 - Murtaza Ali Khan:
An automated and fast system to identify COVID-19 from X-ray radiograph of the chest using image processing and machine learning. 499-508 - Hasan Polat, Mehmet Siraç Özerdem, Faysal Ekici, Veysi Akpolat:
Automatic detection and localization of COVID-19 pneumonia using axial computed tomography images and deep convolutional neural networks. 509-524 - Shamik Tiwari, Anurag Jain:
Convolutional capsule network for COVID-19 detection using radiography images. 525-539 - V. Jeevanantham, MohanBabu G:
Detection and diagnosis of brain tumors-framework using extreme machine learning and CANFIS classification algorithms. 540-547 - Mirra Soundirarajan, Mohammad Hossein Babini, Sue Sim, Visvamba Nathan, Abdulhamit Subasi, Hamidreza Namazi:
Analysis of brain-facial muscle connection in the static fractal visual stimulation. 548-554 - Weimin Liu, Meijun Long, Lingrong Peng, Caihong Qu, Ruomi Guo, Zhuang Kang, Jin Wang, Juekun Wu, Xiaohong Wang:
Digital breast tomosynthesis improves diagnostic accuracy of breast microcalcifications. 555-561 - Yuan Zhang, Jin Chen, Xianzhu Pan:
Multi-feature fusion of deep networks for mitosis segmentation in histological images. 562-574 - Bhakti Kaushal, Mukesh D. Patil, Gajanan K. Birajdar:
Fractional wavelet transform based diagnostic system for brain tumor detection in MR imaging. 575-591 - Charu Bhardwaj, Shruti Jain, Meenakshi Sood:
Diabetic retinopathy severity grading employing quadrant-based Inception-V3 convolution neural network architecture. 592-608 - Songcheng Li, Junyong Lu, Long Cheng, Xiangping Li:
Fuzzy inference based contextual dissimilarity histogram equalization algorithm for image enhancement. 609-626 - Munipraveena Rela, Suryakari Nagaraja Rao, Patil Ramana Reddy:
Optimized segmentation and classification for liver tumor segmentation and classification using opposition-based spotted hyena optimization. 627-656 - An Hu, Navid Razmjooy:
Brain tumor diagnosis based on metaheuristics and deep learning. 657-669 - Tian Bu, Zhiyong Yang, Shan Jiang, Guobin Zhang, Hongyun Zhang, Lin Wei:
3D conditional generative adversarial network-based synthetic medical image augmentation for lung nodule detection. 670-681 - B. Thiyaneswaran, K. Anguraj, S. Kumarganesh, K. Thangaraj:
Early detection of melanoma images using gray level co-occurrence matrix features and machine learning techniques for effective clinical diagnosis. 682-694 - Seyed Mohammad Alizadeh, Ali Mahloojifar:
Automatic skin cancer detection in dermoscopy images by combining convolutional neural networks and texture features. 695-707 - M. Angeline, S. Suja Priyadharsini:
Hybrid compression of biomedical ECG and EEG signals based on differential clustering and encoding techniques. 708-717 - Huseyin Ozgur Kazanci:
Differential photon waves imaging. 718-728 - Rajagopalan Srinath, Gayathri Rajagopal:
Detection and classification of electroencephalogram signals for epilepsy disease using machine learning methods. 729-740 - Nitigya Sambyal, Poonam Saini, Rupali Syal, Varun Gupta:
Aggregated residual transformation network for multistage classification in diabetic retinopathy. 741-752 - Rabih Assaf, Alban Goupil, Abbas Rammal, Valeriu Vrabie, Mohammad Kacim:
2D+t track detection via relative persistent homology. 753-762 - Thapasimuthan Joel, Sivakumar Rajagopal:
Nonsubsampled contourlet transform with cross-guided bilateral filter for despeckling of medical ultrasound images. 763-777 - Ali Alijamaat, Alireza Nikravanshalmani, Peyman Bayat:
Multiple sclerosis identification in brain MRI images using wavelet convolutional neural networks. 778-785 - Songcheng Li, Junyong Lu, Long Cheng, Xiangping Li:
Novel local information kernelized fuzzy C-means algorithm for image segmentation. 786-801 - S. Saravanan, R. Karthigaivel:
A fuzzy and spline based dynamic histogram equalization for contrast enhancement of brain images. 802-827 - Nagadevi Darapureddy, Nagaprakash Karatapu, Tirumula Krishna Battula:
Optimal weighted hybrid pattern for content based medical image retrieval using modified spider monkey optimization. 828-853 - Anthony Muthu Arul Edwin Raj, Muniasamy Sundaram, Thirassama Jaya:
Thermography based breast cancer detection using self-adaptive gray level histogram equalization color enhancement method. 854-873 - Gouse Mohiuddin Kosgiker, Anupama Deshpande, Anjum Kauser:
SegCaps: An efficient SegCaps network-based skin lesion segmentation in dermoscopic images. 874-894 - (Withdrawn) Implementation of deep neural networks for classifying electroencephalogram signal using fractional S-transform for epileptic seizure detection. 895-908
- Jayesh George Melekoodappattu, Perumal Sankar Subbian, M. P. Flower Queen:
Detection and classification of breast cancer from digital mammograms using hybrid extreme learning machine classifier. 909-920 - S. R. Sannasi Chakravarthy, Harikumar Rajaguru:
A novel improved crow-search algorithm to classify the severity in digital mammograms. 921-954 - Poonguzhali Elangovan, Malaya Kumar Nath:
Glaucoma assessment from color fundus images using convolutional neural network. 955-971 - Dongmei Hao, Xiaoxiao Song, Qian Qiu, Xin Xin, Lin Yang, Xiaohong Liu, Hongqing Jiang, Dingchang Zheng:
Effect of electrode configuration on recognizing uterine contraction with electrohysterogram: Analysis using a convolutional neural network. 972-980 - Sneha Singh, Deep Gupta:
Multistage multimodal medical image fusion model using feature-adaptive pulse coupled neural network. 981-1001 - Mizuho Nishio, Koji Fujimoto, Kaori Togashi:
Lung segmentation on chest X-ray images in patients with severe abnormal findings using deep learning. 1002-1008 - Anoop Balakrishnan Kadan, Perumal Sankar Subbian:
Optimized hybrid classifier for diagnosing diabetic retinopathy: Iterative blood vessel segmentation process. 1009-1033 - K. Vijila Rani, C. Thinkal Dayana, P. Sujatha Therese, M. Eugine Prince:
Triple novelty block detection and classification approach for lung tumor analysis. 1034-1049 - A Anilet Bala, P. Aruna Priya, Vivek Maik:
Retinal image enhancement using adaptive histogram equalization tuned with nonsimilar grouping curvelet. 1050-1064
Volume 31, Number 3, September 2021
- Malte Hoffmann, Esra Abaci Turk, Borjan A. Gagoski, Leah Morgan, Paul Wighton, M. Dylan Tisdall, Martin Reuter, Elfar Adalsteinsson, Patricia Ellen Grant, Lawrence L. Wald, André J. W. van der Kouwe:
Cover Image. i
- XiaoQing Zhang, GuangYu Wang, Shu-Guang Zhao:
COVSeg-NET: A deep convolution neural network for COVID-19 lung CT image segmentation. 1071-1086 - Yongwon Cho, Sung Ho Hwang, Yu-Whan Oh, Byung-Joo Ham, Min Ju Kim, Beom Jin Park:
Deep convolution neural networks to differentiate between COVID-19 and other pulmonary abnormalities on chest radiographs: Evaluation using internal and external datasets. 1087-1104 - Shikhar Johri, Mehendi Goyal, Sahil Jain, Manoj Baranwal, Vinay Kumar, Rahul Upadhyay:
A novel machine learning-based analytical framework for automatic detection of COVID-19 using chest X-ray images. 1105-1119 - Lu Tang, Chuangeng Tian, Yankai Meng, Kai Xu:
Longitudinal evaluation for COVID-19 chest CT disease progression based on Tchebichef moments. 1120-1127 - Amar Prasad Gupta, Seung Jun Yeo, Mallory Mativenga, Jaeik Jung, WooSeob Kim, Jongmin Lim, Junyoung Park, Jeung Sun Ahn, Seung Hoon Kim, Moon Shik Chae, Yeong Heum Yeon, Namkug Kim, Beom-Seok Ko, Jehwang Ryu:
A feasibility study of a portable intraoperative specimen imaging X-ray system based on carbon nanotube field emitters. 1128-1135 - Malte Hoffmann, Esra Abaci Turk, Borjan A. Gagoski, Leah Morgan, Paul Wighton, M. Dylan Tisdall, Martin Reuter, Elfar Adalsteinsson, Patricia Ellen Grant, Lawrence L. Wald, André J. W. van der Kouwe:
Rapid head-pose detection for automated slice prescription of fetal-brain MRI. 1136-1154 - Tehmina Khalil, Muhammad Usman Akram, Samina Khalid, Saadat Hanif Dar, Nouman Ali:
A study to identify limitations of existing automated systems to detect glaucoma at initial and curable stage. 1155-1173 - Akila Gurunathan, Batri Krishnan:
Detection and diagnosis of brain tumors using deep learning convolutional neural networks. 1174-1184 - Selvapandian Arumugam, Sivakumar Paulraj, Nagendra Prabhu Selvaraj:
Brain MR image tumor detection and classification using neuro fuzzy with binary cuckoo search technique. 1185-1196 - Zhuqing Jiao, Tingxuan Jiao, Jiahao Zhang, Haifeng Shi, Bona Wu, Yudong Zhang:
Sparse structure deep network embedding for transforming brain functional network in early mild cognitive impairment classification. 1197-1210 - Alessandra Patera, Antonio G. Zippo, Anne Bonnin, Marco Stampanoni, Gabriele E. M. Biella:
Brain micro-vasculature imaging: An unsupervised deep learning algorithm for segmenting mouse brain volume probed by high-resolution phase-contrast X-ray tomography. 1211-1220 - N. Bharanidharan, Harikumar Rajaguru:
Dementia MRI image classification using transformation technique based on elephant herding optimization with Randomized Adam method for updating the hyper-parameters. 1221-1245 - Yuping Huang, Weisheng Li, Jiao Du:
Anatomical-functional image fusion based on deep convolution neural networks in local Laplacian pyramid domain. 1246-1264 - Kaouthar Driss, Wadii Boulila, Aurélie Leborgne, Pierre Gançarski:
Mining frequent approximate patterns in large networks. 1265-1279 - Banphatree Khomkham, Rajalida Lipikorn:
Pulmonary lesion classification from endobronchial ultrasonography images using adaptive weighted-sum of the upper and lower triangular gray-level co-occurrence matrix. 1280-1293 - Abel Zhou, Qi Tan, Graeme L. White, Rob Davidson:
New antiscatter grid design by optimization of strip thickness and height. 1294-1299 - Hsien-Jen Lo, Chih-Hung Wu:
Local binary pattern encoding schemes for computed tomography image segmentation: An experimental and comparative study. 1300-1316 - K. Melbin, Y. Jacob Vetha Raj:
Automated detection and classification of skin diseases using diverse features and improved gray wolf-based multiple-layer perceptron neural network. 1317-1333 - Mina Hosseinpour, Hamid Behnam, Maryam Shojaeifard:
Compressive sensing theory and neighborhood spatial-temporal information for frame rate improvement of dynamic ultrasonic imaging. 1334-1356 - Yu Yang, Jinsong Wang, Yadi Xue:
Iris boundary localization based on Hough transform and the quadratic circle data compensation. 1357-1365 - K. Raghesh Krishnan, Sudhakar Radhakrishnan, Mohaideen Abdul Kadhar Kappuva:
Particle swarm optimization-based liver disorder ultrasound image classification using multi-level and multi-domain features. 1366-1385 - P. Sinthia, M. Malathi:
Cancer detection using convolutional neural network optimized by multistrategy artificial electric field algorithm. 1386-1403 - Lokanath Reddy Chilakala, Gattim Naveen Kishore:
Optimal deep belief network with opposition-based hybrid grasshopper and honeybee optimization algorithm for lung cancer classification: A DBNGHHB approach. 1404-1423 - Gomathi Mathiyalagan, Dhanasekaran Devaraj:
A machine learning classification approach based glioma brain tumor detection. 1424-1436 - Ali Ould Kradda, Abdelghani Ghomari, Abdennacer Ben Hmed, Stéphane Binczak:
Anatomical multiatlas segmentation using local texture statistical properties for matching descriptor with machine learning. 1437-1454 - Vallikutti Sathananthavathi, Indumathi Ganesan, Rita Mahiya, S. Priyadarshini:
Improvement of thin retinal vessel extraction using mean matting method. 1455-1467 - Rajole Bhausaheb N., Vitthal J. Gond:
Hybrid classification with meta-heuristic-enabled optimal feature selection for thyroid detection. 1468-1485 - Swarup Kr Ghosh, Anupam Ghosh:
A novel intuitionistic fuzzy soft set based colonogram enhancement for polyps localization. 1486-1502 - Satya Prakash Sahu, Narendra D. Londhe, Shrish Verma, Bikesh Kumar Singh, Sumit K. Banchhor:
Improved pulmonary lung nodules risk stratification in computed tomography images by fusing shape and texture features in a machine-learning paradigm. 1503-1518 - Asra Rafi, Tahir Mustafa Madni, Uzair Iqbal Janjua, Muhammad Junaid Ali, Mian Muhammad Naeem Abid:
Multi-level dilated convolutional neural network for brain tumour segmentation and multi-view-based radiomics for overall survival prediction. 1519-1535 - Geetha Pavani Pappu, Birendra Biswal, Tapan K. Gandhi, Metta Venkata Satya Sairam:
Classification of neovascularization on retinal images using extreme learning machine. 1536-1550 - Jayesh George Melekoodappattu, Anoop Balakrishnan Kadan, V. Anoop:
Early detection of breast malignancy using wavelet features and optimized classifier. 1551-1563 - Saleh Alaraimi, Kenneth Eloghene Okedu, Hugo Tianfield, Richard Holden, Omair Uthmani:
Transfer learning networks with skip connections for classification of brain tumors. 1564-1582 - Chuhan Hu, Xiaoyan Sun, Zhenming Yuan, Yingfei Wu:
Classification of breast cancer histopathological image with deep residual learning. 1583-1594 - K. Nirmalakumari, Harikumar Rajaguru:
Enhancing the performance of hybrid evolutionary algorithms in microarray colon data classification. 1595-1608 - Fatemeh Bagheri, Mohammad Jafar Tarokh, Majid Ziaratban:
Skin lesion segmentation based on mask RCNN, Multi Atrous Full-CNN, and a geodesic method. 1609-1624 - V. Deepa, C. Sathish Kumar, Sheena Susan Andrews:
Fusing dual-tree quaternion wavelet transform and local mesh based features for grading of diabetic retinopathy using extreme learning machine classifier. 1625-1637 - Rahma Boukadida, Yaroub Elloumi, Mohamed Akil, Mohamed Hedi Bedoui:
Mobile-aided screening system for proliferative diabetic retinopathy. 1638-1654 - S. Deepak, P. M. Ameer:
Brain tumour classification using siamese neural network and neighbourhood analysis in embedded feature space. 1655-1669 - Mohammadreza Hedyehzadeh, Keivan Maghooli, Mohammad MomenGharibvand:
Glioma grade detection using grasshopper optimization algorithm-optimized machine learning methods: The Cancer Imaging Archive study. 1670-1677 - Asma Boudrioua, Abdelouahab Aloui, Basel Solaiman, Larbi Asli, Douraied Ben Salem, Souhil Tliba:
Automatic three-dimensional detection and volume estimation of low-grade gliomas. 1678-1691 - Shaik Basheera, M. Satya Sai Ram:
Deep learning based Alzheimer's disease early diagnosis using T2w segmented gray matter MRI. 1692-1710 - Mehravar Rafati, Fateme Farnia, Elham Romoozi, Ali Mohammad Nickfarjam, Farahnaz Hosseini:
Measuring panoramic radiomorphometric indices for mandible bone using active shape model and Bayesian information criterion-support vector machine. 1711-1730 - Jagadeesh Kakarla, Bala Venkateswarlu Isunuri, Krishna Sai Doppalapudi, Karthik Satya Raghuram Bylapudi:
Three-class classification of brain magnetic resonance images using average-pooling convolutional neural network. 1731-1740 - Heba M. Afify, Kamel K. Mohammed, Aboul Ella Hassanien:
An improved framework for polyp image segmentation based on SegNet architecture. 1741-1751 - Richa Rashmi, Snekhalatha Umapathy, Krishnan Palani Thanaraj:
Thermal imaging method to evaluate childhood obesity based on machine learning techniques. 1752-1768
Volume 31, Number 4, December 2021
- Prashant Bhardwaj, Amanpreet Kaur:
A novel and efficient deep learning approach for COVID-19 detection using X-ray imaging modality. 1775-1791 - Xin Yang, Zhiqiang Li, Yingqing Guo, Dake Zhou:
Retinal vessel segmentation based on an improved deep forest. 1792-1802 - Urva Latif, Ahmad Raza Shahid, Basit Raza, Sheikh Ziauddin, Muazzam Ali Khan Khattak:
An end-to-end brain tumor segmentation system using multi-inception-UNET. 1803-1816 - Lokesh Singh, Rekh Ram Janghel, Satya Prakash Sahu:
SLICACO: An automated novel hybrid approach for dermatoscopic melanocytic skin lesion segmentation. 1817-1833 - Wenbo Zhang, Guang Yang, He Huang, Weiji Yang, Xiaomei Xu, Yongkai Liu, Xiaobo Lai:
ME-Net: Multi-encoder net framework for brain tumor segmentation. 1834-1848 - Susanna Gobbi, Yoojin Lee, István Homolya, Philippe N. Tobler, Todd A. Hare, Zoltán Nagy:
On the reproducibility of in vivo temporal signal-to-noise ratio and its utility as a predictor of subject-level t-values in a functional magnetic resonance imaging study. 1849-1860 - S. R. Sannasi Chakravarthy, Harikumar Rajaguru:
Deep-features with Bayesian optimized classifiers for the breast cancer diagnosis. 1861-1881 - Xiaofang Zhang, Suxiao Li, Bin Zhang, Jie Dong, Shujun Zhao, Xiaomin Liu:
Automatic detection and segmentation of lung nodules in different locations from CT images based on adaptive α-hull algorithm and DenseNet convolutional network. 1882-1893 - Gençay Sevim, Yigit Ali Üncü, Tanju Mercan, Murat Canpolat:
Image reconstruction for diffuse optical tomography using bi-conjugate gradient and transpose-free quasi minimal residual algorithms and comparison of them. 1894-1905 - Nasser Edinne Benhassine, Abdelnour Boukaache, Djalil Boudjehem:
Medical image denoising using optimal thresholding of wavelet coefficients with selection of the best decomposition level and mother wavelet. 1906-1920 - (Withdrawn) Optimal brain tumor diagnosis based on deep learning and balanced sparrow search algorithm. 1921-1935
- Menaga Devendran, Revathi Sathya:
An approach for cancer classification using optimization driven deep learning. 1936-1953 - Zhiqiang Guo, Lina Xu, Yujuan Si, Navid Razmjooy:
Novel computer-aided lung cancer detection based on convolutional neural network-based and feature-based classifiers using metaheuristics. 1954-1969 - Shenbagarajan Anantharajan, Shenbagalakshmi Gunasekaran:
Automated brain tumor detection and classification using weighted fuzzy clustering algorithm, deep auto encoder with barnacle mating algorithm and random forest classifier techniques. 1970-1988 - Sami Bourouis, Nizar Bouguila:
Nonparametric learning approach based on infinite flexible mixture model and its application to medical data analysis. 1989-2002 - Jionghui Jiang, Xi'an Feng, Zhiwen Hu, Xiaodong Hu, Fen Liu, Hui Huang:
Medical image fusion using Transfer Learning and L-BFGS optimization algorithm. 2003-2013 - Nikhil Dhengre, Saugata Sinha:
An edge guided cascaded U-net approach for accelerated magnetic resonance imaging reconstruction. 2014-2022 - Yigit Ali Üncü, Gençay Sevim, Tanju Mercan, Veli Vural, Emel Durmaz, Murat Canpolat:
Differentiation of tumoral and non-tumoral breast lesions using back reflection diffuse optical tomography: A pilot clinical study. 2023-2031 - Manoj Senthil Kailasam, Meeradevi Thiagarajan:
Detection of lung tumor using dual tree complex wavelet transform and co-active adaptive neuro fuzzy inference system classification approach. 2032-2046 - Rahul Singh, Aditya Goel, Deepak Kumar Raghuvanshi:
Binary glioma grading framework employing locality preserving projections and Gaussian radial basis function support vector machine. 2047-2059 - Razaul Karim, Ashef Shahrior, Mohammad Motiur Rahman:
Machine learning-based tri-stage classification of Alzheimer's progressive neurodegenerative disease using PCA and mRMR administered textural, orientational, and spatial features. 2060-2074 - Kwabena Adu, Yongbin Yu, Jingye Cai, Kwabena Owusu-Agyemang, Baidenger Agyekum Twumasi, Xiangxiang Wang:
DHS-CapsNet: Dual horizontal squash capsule networks for lung and colon cancer classification from whole slide histopathological images. 2075-2092 - Mili Rosline Mathews, Anzar S. M.:
A comprehensive review on automated systems for severity grading of diabetic retinopathy and macular edema. 2093-2122 - Gargi Srivastava, Rajeev Srivastava:
Colon tumor localization using three input variants to Faster Region-based Convolutional Neural Network and lazy snapping. 2123-2135 - Xianchao Wang, Cheng-Shun Jiang:
New calculation method for exact length weighting factor in cone-beam computed tomography. 2136-2143 - Sanjukta Rani Jena, Thomas George Selvaraj, Narain Ponraj Deivendran:
Modeling an effectual multi-section You Only Look Once for enhancing lung cancer prediction. 2144-2157 - Jia Wang, Chuwen Lan, Caiyong Wang, Zehua Gao:
Deep learning super-resolution electron microscopy based on deep residual attention network. 2158-2169 - Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde:
Multi-scale decomposition-based CT-MR neurological image fusion using optimized bio-inspired spiking neural model with meta-heuristic optimization. 2170-2188 - Geetha Pavani Pappu, Birendra Biswal, Metta Venkata Satya Sairam, N. BalaSubrahmanyam:
A semantic contour based segmentation of lungs from chest x-rays for the classification of tuberculosis using Naïve Bayes classifier. 2189-2203 - Yanqiu Wang, Shihong Yue, Jun Chen, Qi Li:
Segmentation and classification of ground glass nodule on CT images. 2204-2213 - Sivagami Sivasundaram, Chitra Pandian:
Performance analysis of classification and segmentation of cysts in panoramic dental images using convolutional neural network architecture. 2214-2225 - Mohammed Abdelaziz, Yazid Cherfa, Assia Cherfa, Fatiha Alim-Ferhat:
Automatic brain tumor segmentation for a computer-aided diagnosis system. 2226-2236 - Rupesh Mahamune, Shahedul Haque Laskar:
Classification of the four-class motor imagery signals using continuous wavelet transform filter bank-based two-dimensional images. 2237-2248 - D. Sunderlin Shibu, S. Suja Priyadharsini:
Multimodal medical image fusion using L0 gradient smoothing with sparse representation. 2249-2266 - Priya Saminathan, Letitia Samuel:
Ant Cuckoo Search Optimization-based deep learning classifier for image enhancement in spinal cord images. 2267-2282 - Hao Chen, Yu Xia, Hong Bai Duan, Duo Ban, Qing Yang, Yongqian Qiang:
A computed tomography signs quantization analysis method for pulmonary nodules malignancy grading. 2283-2294 - Pallavi Kulkarni, Deepa Madathil:
Echocardiography image segmentation using semi-automatic numerical optimisation method based on wavelet decomposition thresholding. 2295-2304 - Chao Li, Jun Sun, Li Liu, Vasile Palade:
A hybrid framework for brain tissue segmentation in magnetic resonance images. 2305-2321 - Ömer Türk:
Classification of electroencephalogram records related to cursor movements with a hybrid method based on deep learning. 2322-2333 - Priya Choudhary, Jyoti Singhai, J. S. Yadav:
Curvelet and fast marching method-based technique for efficient artifact detection and removal in dermoscopic images. 2334-2345
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