Unsupervised Anomaly Detection in Medical Imaging: A Survey of Methods, Challenges, and Future Directions.

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Title: Unsupervised Anomaly Detection in Medical Imaging: A Survey of Methods, Challenges, and Future Directions.
Authors: Liu, Boyang1 (AUTHOR), Li, Guangli1 (AUTHOR) 1333@ecjtu.edu.cn, Zou, Yuxing1 (AUTHOR), Zeng, Shiying1 (AUTHOR), Lv, Jingqin1 (AUTHOR), Wu, Renzhong1 (AUTHOR), Zhang, Hongbin1 (AUTHOR)
Source: Bioengineering (Basel). May2026, Vol. 13 Issue 5, p547. 55p.
Database: Academic Search Ultimate
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  Data: Unsupervised Anomaly Detection in Medical Imaging: A Survey of Methods, Challenges, and Future Directions.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194185687
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.3390/bioengineering13050547
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      – Code: eng
        Text: English
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        StartPage: 547
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      – TitleFull: Unsupervised Anomaly Detection in Medical Imaging: A Survey of Methods, Challenges, and Future Directions.
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            NameFull: Liu, Boyang
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            NameFull: Li, Guangli
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            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
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