Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images

Unsupervised anomaly detection (UAD) methods are trained with normal (or healthy) images only, but during testing, they are able to classify normal and abnormal (or disease) images. UAD is an important medical image analysis (MIA) method to be applied in disease screening problems because the traini...

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Main Authors: TIAN, Yu, LIU, Fengbei, PANG, Guansong, CHEN, Yuanhong, LIU, Yuyuan, VERJANS, Johan W., SINGH, Rajvinder, CARNEIRO, Gustavo
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2023
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Online Access:https://ink.library.smu.edu.sg/sis_research/8142
https://ink.library.smu.edu.sg/context/sis_research/article/9145/viewcontent/Self_supervised_Pseudo_Medical_sv.pdf
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Institution: Singapore Management University
Language: English

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