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MERIT: Multi-view Evidential learning for Reliable and Interpretable liver fibrosis sTaging
May 7, 2024, 4:47 a.m. | Yuanye Liu, Zheyao Gao, Nannan Shi, Fuping Wu, Yuxin Shi, Qingchao Chen, Xiahai Zhuang
cs.CV updates on arXiv.org arxiv.org
Abstract: Accurate staging of liver fibrosis from magnetic resonance imaging (MRI) is crucial in clinical practice. While conventional methods often focus on a specific sub-region, multi-view learning captures more information by analyzing multiple patches simultaneously. However, previous multi-view approaches could not typically calculate uncertainty by nature, and they generally integrate features from different views in a black-box fashion, hence compromising reliability as well as interpretability of the resulting models. In this work, we propose a new …
abstract arxiv clinical cs.cv focus however imaging information mri multiple practice staging type uncertainty view while
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