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 ...

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

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

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

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

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.

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

Learn how the dark web really works, from Tor anonymity to cyber threats. Essential cybersecurity learning for staying safe ...

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