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.
I am returning herewith without my approval H.R. 131, the Finish the Arkansas Valley Conduit Act. The Arkansas Valley Conduit (AVC) is a water pipeline currently being built to provide municipal and ...
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 ...