Medical image segmentation is one of the most important tasks in modern healthcare. Every pixel in a scan tells a story, whether it marks a healthy cell, a cancerous growth, or a vital organ boundary.

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A new artificial intelligence (AI) tool could make it much easier-and cheaper-for doctors and researchers to train medical imaging software, even when only a small number of patient scans are ...

Accurate and generalizable segmentation of medical images remains a challenging task due to boundary ambiguity and variations across domains. In this paper, an implicit transformer framework with a ...

1 College of Information Science and Engineering, Henan University of Technology, Zhengzhou, China 2 Institute for Complexity Science, Henan University of Technology, Zhengzhou, China Tongue is ...

@article{DBLP:journals/corr/abs-2207-06799, author = {Qi Zhao and Shuchang Lyu and Wenpei Bai and Linghan Cai and Binghao Liu and Meijing Wu and Xiubo Sang and Min ...

President Trump left the G7 summit early and abruptly to deal with the conflict between Israel and Iran. By Matina Stevis-Gridneff and Michael D. Shear Reporting from Kananaskis, Alberta The Group of ...

The dataset PanNuke-Mini-ImageMask-Dataset-With-Categorize-Masks.zip. used here has been taken from.

Abstract: Medical image segmentation is an important component of medical image analysis, allowing precise delineation of regions of interest for accurate diagnosis and treatment planning. Deep ...

Abstract: Medical image segmentation is crucial for clinical decision-making, but the scarcity of annotated data presents significant challenges. Few-shot segmentation (FSS) methods show promise but ...