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

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 ...

The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly accessible ...