Explore anomaly detection and localization methods for medical imaging data
Due to the limited availability of expert-labeled anomalous samples in medical imaging applications such as chest X-rays, most existing unsupervised anomaly detection methods rely on only normal imaging data for training. Recent studies in medical imaging literature have extensively explored generat...
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| Format: | Final Year Project |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/177215 |
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| Institution: | Nanyang Technological University |
| Language: | English |