In this age of algorithms, personalized insurance is encountering legal limits, especially the ban on discrimination. Can we ...

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.

Abstract: In medical image segmentation, capturing long-range dependencies is critical for precise segmentation. Convolutional Neural Networks(CNNs)excel at local features, while Transformers ...

Abstract: Image segmentation stands as a pivotal challenge in the realm of computer vision. Although, in recent times, deep learning-based segmentation methods have emerged as front-runners in ...