IEEE

UTADC-Net: Unsupervised Topological-Aware Diffusion Condensation Network for Medical Image Segmentation

Abstract: Medical image segmentation plays a crucial role in computer-aided diagnosis and treatment planning. Unsupervised segmentation methods that can effectively leverage unlabeled data bring ...
GitHub

MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot Learning (ICCV2025)

This software is a research prototype, solely developed for and published as part of the publication MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot ...
GitHub

Processing Library and Analysis Toolkit for Medical Imaging in Python

PlatiPy is a library of amazing tools for image processing and analysis - designed specifically for medical imaging! Check out the PlatiPy documentation for more info. This project was motivated by ...
IEEE

VISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging

Abstract: Foundation models for interactive segmentation in 2D natural images and videos have sparked significant interest in building 3D foundation models for medical imaging. However, the domain ...