The global AI in ultrasound imaging market is set to witness a growth rate of 22% in the next 5 years. Growing adoption of AI ...

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.

Lipids are difficult to detect with light microscopy. Using a new chemical labeling strategy, a Dresden-based team led by ...

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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 ...

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

Every American president brings a personal touch to the Oval Office. Ronald Reagan kept a collection of bronze saddles and a jar of Jelly Bellys. Barack Obama introduced a bust of Martin Luther King ...

Abstract: In recent times, leveraging lesion text as supplementary data to enhance the performance of medical image segmentation models has garnered attention. Previous approaches only used attention ...