Tag: computer-aided diagnosis

Researchers at the Vellore Institute of Technology developed three hybrid deep learning models combining convolutional networks, transformers, and clinical metadata ...

A new stochastic fractal search-based framework pairs nature-inspired optimization with a lightweight k-nearest neighbor classifier to classify mammographic lesions with ...

A new deep learning model combines diffusion-style state propagation with Mamba-based sequence modeling and window attention to grade ulcerative colitis ...

A Stanford team shows a transparent web-based staging tool cuts Ann Arbor staging time and errors in pediatric Hodgkin lymphoma, ...

A systematic review of 123 studies maps how artificial intelligence is transforming brain imaging and computer-aided diagnosis of neurological diseases, ...

Researchers in India have built a unified deep learning framework that classifies brain tumors in MRI scans with 98.52 percent ...

Researchers have developed BurnAreaNet, a deep learning system that estimates total body surface area burned from simple 2D masks with ...

Researchers at VIT-AP University have developed an explainable hybrid deep learning model that classifies knee osteoporosis from X-rays with 91 ...

Researchers have built a modified dual-task DenseNet121 that classifies brain tumors from MRI scans with over 99 percent accuracy while ...

Researchers have adapted Meta's Segment Anything Model for medical imaging by combining low-rank fine-tuning, Mamba-based adapters, and a prompt-free decoder, ...