Abstract: Breast cancer remains a significant global health concern, necessitating the advancement of image segmentation techniques to improve diagnostic accuracy. Traditional thresholding methods ...

Abstract: Threshold based segmentation methods can effectively separate objects from the background. The conventional Otsu's method can achieve good result only when the histogram of an image has two ...

IteRPrimE is a novel framework for zero-shot referring image segmentation that leverages an Iterative Grad-CAM Refinement Strategy (IGRS) and a Primary Word Emphasis Module (PWEM) to improve ...