Deep learning is one of the fastest-growing topics in medical imaging, with rapidly emerging applications spanning medical image-based and textural data modalities. With the help of deep learning-based medical imaging tools, clinicians can detect and classify lung nodules more accurately and quickly.
Deep learning for the detection of benign and malignant pulmonary ...
www.nature.com › ... › articles
Oct 27, 2023 · The AI system reliably detects benign and malignant pulmonary nodules in clinically indicated CT scans and can potentially assist radiologists in this setting.
Jul 10, 2024 · This study was designed to compare detection and segmentation methods for pulmonary nodules using deep-learning techniques to fill methodological gaps and ...
Description. This study uses a revolutionary image recognition method, deep learning, for the classification of potentially malignant pulmonary nodules.
People also ask
Which algorithm is used for lung cancer detection?
What is the best test for lung nodules?
What is the probability of lung cancer in patients with incidentally detected pulmonary nodules?
How are lung nodules detected?
Jun 19, 2024 · A computer aided pulmonary nodule detection model was constructed. The process iterates over the images to refine the lung nodule recognition model based on ...
Jul 10, 2024 · This study was designed to compare detection and segmentation methods for pulmonary nodules using deep-learning techniques to fill methodological gaps and ...
It involves selecting and configuring deep learning architectures, such as convolutional neural networks (CNNs), 3D CNNs, Autoencoders, and Deep Auto Encoders, ...
Sep 19, 2023 · The deep learning-based nodule detection (DLD) system improves nodule detection performance of observers on chest radiographs (CXRs).
Nov 22, 2022 · We developed a deep learning-based CAD system that is robust to imaging conditions. Using this system as a second reader increased detection performance.
In this paper, we summarize existing CAD approaches applying deep learning to CT scan data for pre-processing, lung segmentation, false positive reduction, ...