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 ...
The BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy ...
A study has found that the way medical images are prepared before analysis can have a significant impact on the performance of deep learning models.
Development and Portability of a Text Mining Algorithm for Capturing Disease Progression in Electronic Health Records of Patients With Stage IV Non–Small Cell Lung Cancer Emerging evidence suggests ...
Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...
News-Medical.Net on MSN
Automated system improves deep learning accuracy in chest radiography analysis
Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...
Using a custom "camera-to-rice" platform combined with deep-learning methods for feature extraction, matching, segmentation, and denoising, the system ...
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