Review of unsupervised anomaly detection techniques for medical imaging
Comprehensive Reviews|更新时间:2026-05-11
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Review of unsupervised anomaly detection techniques for medical imaging
Journal on CommunicationsVol. 47, Issue 4, Pages: 248-269(2026)
作者机构:
1.西安理工大学计算机科学与工程学院,陕西 西安 710048
2.陕西省网络计算与安全技术重点实验室,陕西 西安 710048
3.人机共融智能机器人陕西省高校工程研究中心,陕西 西安 710048
作者简介:
基金信息:
The National Natural Science Foundation of China(62502377);The Natural Science Basic Research Program of Shaanxi Province(2025JC-YBMS-755;2025JC-YBQN-934)
Zhao Yingcheng,Song Xiaogang,Shi Zhenghao,et al.Review of unsupervised anomaly detection techniques for medical imaging[J].Journal on Communications,2026,47(04):248-269.
Zhao Yingcheng,Song Xiaogang,Shi Zhenghao,et al.Review of unsupervised anomaly detection techniques for medical imaging[J].Journal on Communications,2026,47(04):248-269. DOI: 10.11959/j.issn.1000-436x.2026046.
Review of unsupervised anomaly detection techniques for medical imaging