Abstract: Deep learning models for medical image segmentation often struggle with task-specific characteristics, limiting their generalization to unseen tasks with new anatomies, labels, or modalities ...

Abstract: Medical image segmentation remains a challenging task due to the intricate nature of anatomical structures and the wide range of target sizes. In this paper, we propose a novel U-shaped ...

How does a cow scratch an itch on its back? An Austrian cow named Veronika has a solution that could change how we view livestock. For the past decade, Veronika has been observed by her owner ...

Abstract: Data annotation in medical image segmentation is time-consuming and expensive. Semi-supervised learning (SSL) presents a viable solution. However, unlike organ segmentation, current ...

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: The success of deep learning in 3D medical image segmentation hinges on training with a large dataset of fully annotated 3D volumes, which are difficult and time-consuming to acquire.

At Animas High School, ninth graders explore identity through personal essays and papier-mâché masks. The assignment, known as the Socialization and Identity Project, has become a rite of passage for ...

The fate of Warner Bros. Discovery is no longer a regulatory matter. It is a medieval tournament, in which the king invites rival bidders to compete for his approval. To acquire the media company, the ...

Sign up for the Slatest to get the most insightful analysis, criticism, and advice out there, delivered to your inbox daily. By mid-October, the Democrats’ chances ...