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.

The Santiago Urban Dataset (SUD) is a new, composite dataset merging handheld mobile laser scanning (HMLS) and mobile laser ...

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 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 ...

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

A new study shows that AI is revolutionizing colon cancer diagnosis, making detection easier, faster, less invasive, and more accurate. The research, based on a meta-analysis of studies published ...

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