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: | , , , , , , , |
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Format: | text |
Language: | English |
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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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