A Hematologist-Level Deep Learning Algorithm (BMSNet) for Assessing the Morphologies of Single Nuclear Balls in Bone Marrow Smears: Algorithm Development

A Hematologist-Level Deep Learning Algorithm (BMSNet) for Assessing the Morphologies of Single Nuclear Balls in Bone Marrow Smears: Algorithm Development

BackgroundBone marrow aspiration and biopsy remain the gold standard for the diagnosis of hematological diseases despite the development of flow cytometry (FCM) and molecular and gene analyses. However, the interpretation of the results is laborious and operator dependent. Furthermore, the obtained...

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Main Authors: Wu, Yi-Ying, Huang, Tzu-Chuan, Ye, Ren-Hua, Fang, Wen-Hui, Lai, Shiue-Wei, Chang, Ping-Ying, Liu, Wei-Nung, Kuo, Tai-Yu, Lee, Cho-Hao, Tsai, Wen-Chiuan, Lin, Chin
Format: Article
Language:English
Published: JMIR Publications 2020-04-01
Series:JMIR Medical Informatics
Online Access:http://medinform.jmir.org/2020/4/e15963/

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http://medinform.jmir.org/2020/4/e15963/

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