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 ...

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.

The BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy ...

Master’s thesis position (M.Sc. student) in Deep Learning for Healthcare.

A recent Scientific Reports study discusses the potential of retinal fundus imaging as a diagnostic screening modality for Parkinson's disease (PD). Study: Deep learning predicts prevalent and ...

Using a custom "camera-to-rice" platform combined with deep-learning methods for feature extraction, matching, segmentation, and denoising, the system ...