User profiles for Deepika Koundal
Deepika KoundalUniversity of Eastern Finland, Finland Verified email at uef.fi Cited by 3259 |
Image fusion techniques: a survey
The necessity of image fusion is growing in recently in image processing applications due to
the tremendous amount of acquisition systems. Fusion of images is defined as an alignment …
the tremendous amount of acquisition systems. Fusion of images is defined as an alignment …
Computer aided thyroid nodule detection system using medical ultrasound images
Thyroid nodule is one of the endocrine problem caused due to abnormal growth of cells. This
survival rate can be enhanced by earlier detection of nodules. Thus, the accurate detection …
survival rate can be enhanced by earlier detection of nodules. Thus, the accurate detection …
Recent trends in computer assisted diagnosis (CAD) system for breast cancer diagnosis using histopathological images
Breast cancer is one of the common type of cancer in females across the world. An early
detection and diagnosis of breast cancer may reduce the mortality rate to a great extent. To …
detection and diagnosis of breast cancer may reduce the mortality rate to a great extent. To …
Bone cancer detection using feature extraction based machine learning model
Bone cancer is considered a serious health problem, and, in many cases, it causes patient
death. The X‐ray, MRI, or CT‐scan image is used by doctors to identify bone cancer. The …
death. The X‐ray, MRI, or CT‐scan image is used by doctors to identify bone cancer. The …
Healthcare applications using blockchain technology: Motivations and challenges
Blockchain technology is one of the most important inventions and creative advancements
that play a crucial role in today's business world. Blockchain technology is heading in the …
that play a crucial role in today's business world. Blockchain technology is heading in the …
[Retracted] Global Increase in Breast Cancer Incidence: Risk Factors and Preventive Measures
…, D Koundal, A Zaguia, S Koundal… - BioMed research …, 2022 - Wiley Online Library
Breast cancer is a global cause for concern owing to its high incidence around the world.
The alarming increase in breast cancer cases emphasizes the management of disease at …
The alarming increase in breast cancer cases emphasizes the management of disease at …
[PDF][PDF] Fusion of Infrared and Visible Images Using Fuzzy Based Siamese Convolutional Network.
Traditional techniques based on image fusion are arduous in integrating complementary or
heterogeneous infrared (IR)/visible (VS) images. Dissimilarities in various kind of features in …
heterogeneous infrared (IR)/visible (VS) images. Dissimilarities in various kind of features in …
[Retracted] Deep Neural Networks for Medical Image Segmentation
P Malhotra, S Gupta, D Koundal… - Journal of …, 2022 - Wiley Online Library
Image segmentation is a branch of digital image processing which has numerous applications
in the field of analysis of images, augmented reality, machine vision, and many more. The …
in the field of analysis of images, augmented reality, machine vision, and many more. The …
Fusion of U-Net and CNN model for segmentation and classification of skin lesion from dermoscopy images
Skin is one of the most significant organs, which serves as a barrier to the outside surroundings
of the human body. To improve mortality, skin disease detection at a prior stage is …
of the human body. To improve mortality, skin disease detection at a prior stage is …
Automated COVID‐19 detection in chest X‐ray images using fine‐tuned deep learning architectures
The COVID‐19 pandemic has a significant impact on human health globally. The illness is
due to the presence of a virus manifesting itself in a widespread disease resulting in a high …
due to the presence of a virus manifesting itself in a widespread disease resulting in a high …