DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation

1 June 2023

Papers citing "DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation"

6 / 6 papers shown

Title
Vision Foundation Models in Medical Image Analysis: Advances and Challenges Pengchen Liang Bin Pu Haishan Huang Yiwei Li Haoran Wang Weibo Ma Qing Chang VLM MedIm 106 0 0 24 Feb 2025
Foundational Models Defining a New Era in Vision: A Survey and Outlook Muhammad Awais Muzammal Naseer Salman Khan Rao Muhammad Anwer Hisham Cholakkal M. Shah Ming Yang Fahad Shahbaz Khan VLM 38 118 0 25 Jul 2023
Towards Segment Anything Model (SAM) for Medical Image Segmentation: A Survey Yichi Zhang Rushi Jiao MedIm VLM 40 26 0 05 May 2023
Polyp-SAM: Transfer SAM for Polyp Segmentation Yuheng Li Mingzhe Hu Xiaofeng Yang MedIm 156 82 0 29 Apr 2023
Customized Segment Anything Model for Medical Image Segmentation Kaiwen Zhang Dong Liu MedIm VLM 106 286 0 26 Apr 2023
Robust and Generalizable Visual Representation Learning via Random Convolutions Zhenlin Xu Deyi Liu Junlin Yang Colin Raffel Marc Niethammer OOD AAML 53 190 0 25 Jul 2020