Physics World

Hybrid deep-learning model eases brachytherapy planning

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

Pre-processing Improves AI Breast Imaging Accuracy

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.
GIM International

Comparing semantic segmentation approaches to MLS point clouds

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

New AI Model Segments Crop Diseases with Just a Few Images

A research team has now developed a new few-shot semantic segmentation framework, SegPPD-FS, capable of identifying infected ...
VentureBeat

Google’s ‘Nested Learning’ paradigm could solve AI's memory and continual learning problem

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...