Abstract: Computed tomography (CT) is extensively used for accurate visualization and segmentation of organs and lesions. While deep learning models such as convolutional neural networks (CNNs) and ...

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 ...

Authorities are warning the public about a scam involving fake court notices that appear to come from the Superior Court of California and demand immediate payment through QR codes or other unofficial ...

This repository provides the codebase of SSP-SAM, a referring expression segmentation framework built on top of SAM with semantic-spatial prompts.