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

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.

FLAMeS, a new convolutional neural network, enhances MS lesion segmentation accuracy using only T2-weighted FLAIR images, ...

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 ...

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

A recent study reveals that integrating Artificial Intelligence (AI) into colon cancer diagnosis over the past five years has significantly improved the speed and accuracy of the detection of the ...

Artificial Intelligence (AI) has become a buzzword in today’s tech-driven world, promising new possibilities and reshaping industries. Despite its prevalence, ...

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

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