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.

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

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

Johns Hopkins University School of Medicine researchers unveil a new artificial intelligence (AI) deep learning digital biomarker for chronic stress based on CT scans.

A research team has now developed a new few-shot semantic segmentation framework, SegPPD-FS, capable of identifying infected regions from only one or a few labeled samples.

On October 3, 2025, a multicenter team from Shenzhen University, Xiangya Hospital of Central South University, Zhujiang Hospital of Southern Medical University, Wuxi People's Hospital Affiliated to ...

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 ...

Alongside the model, a high-quality benchmark dataset covering 101 pest and disease classes has been publicly released. Together, they offer a ...

Experian’s Edu Castro and Dacy Yee share how data and technology are reshaping financial services to deliver trust and ...

The "AI Optical Transceiver Market - Global Forecast 2025-2032" has been added to ResearchAndMarkets.com's offering.