Cancer remains one of the leading causes of morbidity and mortality worldwide, characterized by complex genetic and molecular ...

Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical ...

MIT researchers developed an AI tool, MultiverSeg, to simplify the annotation of medical images for clinical research.

MIT researchers developed an interactive, AI-based system that enables users to rapidly annotate areas of interest in new biomedical imaging datasets, without training a machine-learning model in ...

MIT researchers have created MultiverSeg, an artificial intelligence system that accelerates the segmentation of medical ...

Abstract: Remote sensing image segmentation is a fundamental task in Earth observation. Rapid development has been made in the past decade owing to the deep learning techniques. Most of the existing ...

Abstract: In the realm of modern medicine, the process of liver image segmentation holds immense significance in facilitating precise diagnoses of hepatic diseases. However, this procedure is ...

Xipu, University of Liverpool Joint Publication!"Can't see clearly at night? A systematic review breaks through the low-light vision dilemma" ...

The Buffalo Bills and Baltimore Ravens will meet for the third time in less than a calendar year in Week 1 of Sunday Night Football. Baltimore dominated in a Week 4 victory last year but the Bills got ...

The 2025 NFL season kicks off tonight with a key NFC East matchup between the Dallas Cowboys and the defending Super Bowl champion Philadelphia Eagles (-8, 47.5). Since 2010, Dallas and Philadelphia ...

We propose SegDINO, an efficient image segmentation framework that couples a frozen DINOv3 backbone with a lightweight MLP decoder, achieving state-of-the-art performance on both medical and natural ...