高效 MedSAMs：在笔记本电脑上实现医学图像 Segment Anything
图像与视频处理
2024-12-23 v1 计算机视觉与模式识别
摘要
可提示分割基础模型已涌现作为解决医学图像中多样化需求的变革性方法，但大多数现有模型需要昂贵的计算资源，构成了在临床实践中采用的主要障碍。本文组织了首个专注于可提示医学图像分割的国际竞赛，包含来自超过20个机构的九种常见成像模态的大规模数据集。获奖团队开发了轻量级分割基础模型，并实现了大幅度减少计算需求的高效推理管道，同时保持了领先的分割准确率。此外，赛后阶段通过设计性能提升和可重复性任务，进一步完善了算法，验证了获奖方案的可重复性。最终，最佳算法已集成到开源软件中，并配备用户友好的界面以促进临床应用。数据和代码已公开，旨在推动医学图像分割基础模型的进一步发展，为具有影响力的实际应用铺平道路。
引用
@article{arxiv.2412.16085,
title = {Efficient MedSAMs: Segment Anything in Medical Images on Laptop},
author = {Jun Ma and Feifei Li and Sumin Kim and Reza Asakereh and Bao-Hiep Le and Dang-Khoa Nguyen-Vu and Alexander Pfefferle and Muxin Wei and Ruochen Gao and Donghang Lyu and Songxiao Yang and Lennart Purucker and Zdravko Marinov and Marius Staring and Haisheng Lu and Thuy Thanh Dao and Xincheng Ye and Zhi Li and Gianluca Brugnara and Philipp Vollmuth and Martha Foltyn-Dumitru and Jaeyoung Cho and Mustafa Ahmed Mahmutoglu and Martin Bendszus and Irada Pflüger and Aditya Rastogi and Dong Ni and Xin Yang and Guang-Quan Zhou and Kaini Wang and Nicholas Heller and Nikolaos Papanikolopoulos and Christopher Weight and Yubing Tong and Jayaram K Udupa and Cahill J. Patrick and Yaqi Wang and Yifan Zhang and Francisco Contijoch and Elliot McVeigh and Xin Ye and Shucheng He and Robert Haase and Thomas Pinetz and Alexander Radbruch and Inga Krause and Erich Kobler and Jian He and Yucheng Tang and Haichun Yang and Yuankai Huo and Gongning Luo and Kaisar Kushibar and Jandos Amankulov and Dias Toleshbayev and Amangeldi Mukhamejan and Jan Egger and Antonio Pepe and Christina Gsaxner and Gijs Luijten and Shohei Fujita and Tomohiro Kikuchi and Benedikt Wiestler and Jan S. Kirschke and Ezequiel de la Rosa and Federico Bolelli and Luca Lumetti and Costantino Grana and Kunpeng Xie and Guomin Wu and Behrus Puladi and Carlos Martín-Isla and Karim Lekadir and Victor M. Campello and Wei Shao and Wayne Brisbane and Hongxu Jiang and Hao Wei and Wu Yuan and Shuangle Li and Yuyin Zhou and Bo Wang},
journal= {arXiv preprint arXiv:2412.16085},
year = {2024}
}
备注
CVPR 2024 MedSAM on Laptop Competition Summary: https://www.codabench.org/competitions/1847/