EurekAlert!

MHP-Net: A revolutionary AI model for accurate liver tumor segmentation for diagnosis and therapy

Researchers from Science Tokyo develop a Multi-scale Hessian-enhanced Patch-based Neural Network Model for Segmentation of Liver Tumor from CT Scans. Liver cancer is the sixth most common cancer ...
News Medical

Novel geometric deep learning model improves stroke lesion segmentation

Ischemic stroke, which occurs when a blood vessel in the brain gets blocked by a clot, is among the leading causes of death worldwide. Fortunately, surgeons now have access to advanced imaging ...
EurekAlert!

Two-stage deep learning boosts crop phenotyping across species

Plant phenotypes—observable traits shaped by genetics and environment—are the foundation of breeding and crop science. Traditional trait measurement relies ...
Optics

Deep learning model estimates cancer risk from breast density

Mammographic density estimates based on the visual scores of radiologists. Breast cancer is the most common cancer to affect women worldwide. According to the American Cancer Society, about 1 in 8 ...
ascopubs.org

Deep-Learning Model for Real-Time Prediction of Recurrence in Early-Stage Non–Small Cell Lung Cancer: A Multimodal Approach (RADAR CARE Study)

Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...