Nature

Colorectal Polyp Detection and Segmentation Using Deep Learning

Colorectal polyp detection and segmentation represent critical components in the early diagnosis and treatment of colorectal cancer. Recent advances in deep learning have markedly enhanced the ...
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RetinaDA: a diverse dataset for domain adaptation in retinal vessel segmentation

RetinaDA unites six public fundus sets into a 512 × 512 macula-centered benchmark with built-in domain gaps, enabling ...
ascopubs.org

Transforming liver tumor segmentation: A comprehensive meta-analysis of deep learning approaches.

Use of an artificial intelligence model to predict Ki67 from H&E-stained whole slides images in breast cancer. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does ...
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AI model achieves high accuracy for liver tumor segmentation

Liver cancer is the sixth most common cancer globally and a leading cause of cancer-related deaths. Accurate segmentation of liver tumors is a crucial step for the management of the disease, but ...
Healio

Deep learning model promising in detecting severe glaucoma

Please provide your email address to receive an email when new articles are posted on . The model had an area under the curve of 0.92 in the detection of severe glaucoma. Additional training data ...
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 ...