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 ...

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

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.

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

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

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 ...

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