nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods

Matthew Baugh, Jeremy Tan, Athanasios Vlontzos, Johanna P. Müller, Bernhard Kainz. nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods. In Carole H. Sudre, Christian F. Baumgartner, Adrian V. Dalca, Chen Qin, Ryutaro Tanno, Koen Van Leemput, William M. Wells III, editors, Uncertainty for Safe Utilization of Machine Learning in Medical Imaging - 4th International Workshop, UNSURE 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings. Volume 13563 of Lecture Notes in Computer Science, pages 103-112, Springer, 2022. [doi]

Abstract

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