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 ...

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 ...

Abstract: Medical image segmentation often relies on fully automated methods, but achieving the necessary accuracy in clinical settings can be challenging. Interactive segmentation methods attempt to ...

What is this book about? OpenCV is considered to be one of the best Open Source Computer Vision and machine learning software libraries. It helps developers build complete projects on image processing ...

upyter Notebook implementation of various image processing techniques using OpenCV, including Harris Corner Detection, Image Pyramids, Watershed Segmentation, SIFT, and YOLO object detection on the ...