The BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy ...
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 ...
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 ...
The Santiago Urban Dataset (SUD) is a new, composite dataset merging handheld mobile laser scanning (HMLS) and mobile laser ...
A research team has now developed a new few-shot semantic segmentation framework, SegPPD-FS, capable of identifying infected ...
Using a custom "camera-to-rice" platform combined with deep-learning methods for feature extraction, matching, segmentation, and denoising, the system ...
Johns Hopkins University School of Medicine researchers unveil a new artificial intelligence (AI) deep learning digital biomarker for chronic stress based on CT scans.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback