Modality cycles with masked conditional diffusion for unsupervised anomaly segmentation in MRI

Unsupervised anomaly segmentation aims to detect patterns that are distinct from any patterns processed during training, commonly called abnormal or out-of-distribution patterns, without providing any associated manual segmentations. Since anomalies during deployment can lead to model failure, detec...

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書目詳細資料
Main Authors: Liang, Z, Anthony, H, Wagner, F, Kamnitsas, K
格式: Conference item
語言:English
出版: Springer 2024