In this paper, we present UISE, a unified image segmentation framework that achieves efficient performance across various segmentation tasks, eliminating the need for multiple specialized pipelines.

Abstract: In this paper, we present UISE, a unified image segmentation framework that achieves efficient performance across various segmentation tasks, eliminating the need for multiple specialized ...

This repository is associated with the Left Atrial Segmentation Challenge 2013 (LASC'13). LASC'13 was part of the STACOM'13 workshop, held in conjunction with MICCAI'13. Seven international research ...

The amount of aerial and satellite imagery captured worldwide continues to grow. Yet, efficiently identifying and labeling features in these images—like roofs, cars, or trees—remain challenging. To ...

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Objective: To assist in the rapid clinical identification of brain tumor types while achieving segmentation detection, this study investigates the feasibility of applying the deep learning YOLOv5s ...

BEIJING, Nov 12 (Reuters) - China's Baidu Inc (9888.HK), opens new tab unveiled a slew of new applications for its artificial intelligence technology on Tuesday, including an enhanced text-to-image ...

Introduction: Ultrasound imaging has become a crucial tool in medical diagnostics, offering real-time visualization of internal organs and tissues. However, challenges such as low contrast, high noise ...