Abstract: The data-intensive nature of supervised classification drives the interest of the researchers towards unsupervised approaches, especially for problems such as medical image segmentation, ...

Abstract: Accurate pathological image segmentation is crucial for the clinical diagnosis of breast cancer. However, existing methods of pathological segmentation face challenges due to the variability ...

1). This paper contributes a novel and effective collaborative prompt-segmentation framework (COS3D) for the 3D open-vocabulary segmentation task. 2). Extensive experiments demonstrate that i) it not ...