ConDSeg, a General Medical Image Segmentation Framework, Released as Code

ConDSeg, a general framework that handles medical image segmentation across multiple modalities through contrast-driven feature enhancement, has had its implementation published on GitHub. It is the official implementation of the AAAI 2025 paper "ConDSeg: A General Medical Image Segmentation Framework via Contrast-Driven Feature Enhancement" (arXiv:2412.08345, by Mengqi Lei, Haochen Wu, Xinhua Lv and Xin Wang). The GitHub repository is PyTorch-based and is free for research and educational use, while commercial use requires permission.