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Jul, 2022
用自然语言解释胸部X射线病理学
Explaining Chest X-ray Pathologies in Natural Language
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Maxime Kayser, Cornelius Emde, Oana-Maria Camburu, Guy Parsons, Bartlomiej Papiez...
TL;DR
介绍了一项新任务:生成自然语言解释以证明医学图像预测的正确性,并引入了一个大规模的医学影像数据集MIMIC-NLE,包含超过38,000个自然语言解释,旨在训练内在可解释的模型。
Abstract
Most
deep learning
algorithms lack explanations for their predictions, which limits their deployment in clinical practice. Approaches to improve
explainability
, especially in
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