Self-improving generative foundation model for synthetic medical image generation and clinical applications

发表于 2026-7-8 17:13:03

期刊：Nature Medicine

文献作者：Jinzhuo Wang; Kai Wang; Yunfang Yu; Yuxing Lu; Wenchao Xiao; Zhuo Sun; Fei Liu; Zixing Zou; Yuanxu Gao; Lei Yang; Hong-Yu Zhou; Hanpei Miao; Wenting Zhao; Lisha Huang; Lingchao Zeng; Rui Guo; Ieng Chong; Boyu Deng; Linling Cheng; Xiaoniao Chen; Jing Luo; Meng-Hua Zhu; Daniel Baptista-Hon; Olivia Monteiro; Ming Li; Yu Ke; Jiahui Li; Simiao Zeng; Taihua Guan; Jin Zeng; Kanmin Xue; Eric Oermann; Huiyan Luo; Yun Yin; Kang Zhang; Jia Qu

出版日期：2025-2-

DOI号：10.1038/s41591-024-03359-y

下载链接：https://www.nature.com/articles/s41591-024-03359-y.pdf

文献链接：https://doi.org/10.1038/s41591-024-03359-y

当前文献来源于 Springer Science and Business Media LLC。

备注信息：

发表于 2026-7-8 17:13:04

: 当前求助已完成，请重新发起求助。
已完结状态的附件将会在24小时内删除。

[Nature] Self-improving generative foundation model for synthetic medical image generation and clinical applications

已采纳

同分类求助

最新回复

站点公告

今日热心研友

（热心研友QQ群）

[Nature] Self-improving generative foundation model for synthetic medical image generation and clinical applications 一键复制

已采纳