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

BACKGROUND: Bone 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 obtaine...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7177428/
https://www.ncbi.nlm.nih.gov/pubmed/32267237
http://dx.doi.org/10.2196/15963

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7177428/
https://www.ncbi.nlm.nih.gov/pubmed/32267237
http://dx.doi.org/10.2196/15963

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