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Development of Deep Convolutional Neural Network-Based Algorithm for Muscle Biopsy Diagnosis Mariko Okubo 1 , Yoshinori Kabeya 2 , Ichizo Nishino 1 1Department of Neuromuscular Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry 2IBM Japan Ltd Keyword: 筋病理 , 筋炎 , 遺伝性筋疾患 , AI , 深層学習 , muscle pathology , myositis , hereditary muscle disease , artificial intelligence , deep learning pp.1019-1024
Published Date 2022/8/1
DOI https://doi.org/10.11477/mf.1416202172
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Abstract

To diagnose muscle disease, histopathologic evaluation of muscle biopsy is essential. In addition, since myositis has a well-established treatment, an accurate diagnosis is required. However, distinguishing myositis from other muscle diseases is challenging for pathologists. Thus, artificial intelligence is expected to improve medical productivity. Therefore, we developed an algorithm based on deep convolutional neural networks to make the algorithm for muscle biopsy diagnosis. We used 1,400 hematoxylin-and-eosin-stained pathology slides for training and testing. Our trained algorithm achieved better sensitivity and specificity than the diagnoses made by physicians.


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電子版ISSN 1344-8129 印刷版ISSN 1881-6096 医学書院

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