The BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy ...
The Santiago Urban Dataset (SUD) is a new, composite dataset merging handheld mobile laser scanning (HMLS) and mobile laser ...
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.
Alongside the model, a high-quality benchmark dataset covering 101 pest and disease classes has been publicly released. Together, they offer a ...
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 ...
COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological insights from small ...
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