COSMOS 1050K 医学图像分割数据集

该数据集是由深圳大学医学部生物医学工程学院倪东教授团队，联合英国牛津大学、苏黎世联邦理工学院、浙江大学、深圳市人民医院和度影医疗等单位联合构建的，他们在国际医学图像分析领域的顶级期刊《Medical Image Analysis》（影响因子 10.9）上，发表了题为「Segment anything model for medical images?」的论文。

This dataset was jointly developed by the team led by Professor Ni Dong from the School of Biomedical Engineering, Faculty of Medicine, Shenzhen University, in collaboration with multiple institutions including the University of Oxford (United Kingdom), ETH Zurich, Zhejiang University, Shenzhen People's Hospital, and Duying Medical. The team published a paper entitled "Segment Anything Model for Medical Images?" in *Medical Image Analysis*, a top-tier journal in the field of international medical image analysis with an impact factor of 10.9.

搜集汇总

背景与挑战

背景概述

COSMOS 1050K 医学图像分割数据集是一个大型医学图像分割数据集，由深圳大学联合牛津大学、苏黎世联邦理工学院等多个机构基于53个公开数据集整合构建，旨在支持医学图像分析研究。该数据集对应一篇发表在《Medical Image Analysis》期刊上的论文，所有权归属于原始作者或组织，使用时需遵守相关许可并注明来源。