Tag: computer-aided diagnosis

Researchers have developed a compact optimized convolutional neural network framework that classifies multiple lung diseases from CT and chest X-ray ...

Researchers have unveiled TomoMamba, a two-stage AI framework that uses selective state-space models to propagate features across DBT slices, achieving ...

A comprehensive new review maps the technical, regulatory, and ethical barriers separating deep learning breakthroughs in medical imaging from safe ...

Researchers at the University of Naples Federico II have developed a hierarchical graph neural network framework that represents breast tissue ...

Researchers have developed a compact four-block residual attention network that classifies Alzheimer's disease and brain tumors from MRI scans with ...

Researchers in India have combined fuzzy logic edge detection with the KAZE feature detector to automatically identify breast masses and ...

Japanese researchers have built a deep learning model that detects neonatal pneumothorax on chest X-rays with an AUC of 0.975, ...

Researchers have developed an interpretable hierarchical pipeline combining Gaussian filtering, YCbCr-based CLAHE enhancement, K-means nuclei segmentation, and SVM classification that ...

Researchers in China have developed a Transformer-CNN deep learning framework that segments and grades gastric intestinal metaplasia in whole slide ...