Relevance analysis of MRI sequences for automatic liver tumor segmentationDownload PDF

12 Apr 2019, 14:05 (modified: 13 Jul 2022, 20:47)MIDL Abstract 2019Readers: Everyone
Keywords: explainability, deep learning, segmentation, MRI
Abstract: Explainability of decisions made by deep neural networks is of high value as it allows for validation and improvement of models. This work proposes an approach to explain semantic segmentation networks by means of layer-wise relevance propagation. As an exemplary application, we investigate which MRI sequences are most relevant for liver tumor segmentation.
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