Deep learning innovations improve accuracy in medical imaging for better healthcare outcomes.
― 5 min read
Ulas Bagci
New model improves liver cirrhosis imaging and segmentation accuracy.
― 6 min read
PolypDB enhances colonoscopy accuracy by providing a diverse dataset for detecting polyps.
― 6 min read
FANetv2 enhances polyp detection in colonoscopy images for better treatment outcomes.
― 5 min read
Researchers develop a dual-model approach for spotting brain tumors in children.
― 5 min read
A new approach to assess pancreatic growths while protecting patient privacy.
― 5 min read
New method improves skin lesion classification while protecting patient data.
― 5 min read
PEP-Net improves prediction of survival rates for Pulmonary Embolism patients.
― 5 min read
A new framework enhances medical image analysis using labeled and unlabeled data.
― 7 min read