A machine-learning-based algorithm for bone marrow cell differential counting

In this study, an AI algorithm was developed and clinically validated using large, multinational datasets. Our algorithm can locate and classify BM cells simultaneously and has potential clinical applicability for automating BM differential counting.

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Publication Details

Journal
International Journal of Medical Informatics
Published
2024-11-07
DOI
https://doi.org/10.1016/j.ijmedinf.2024.105692
Citations
5
Primary Topic
Digital Imaging for Blood Diseases
Type
article
Field-Weighted Citation Impact
1.25
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article

A machine-learning-based algorithm for bone marrow cell differential counting

Ya-Yun Yang, H. H. Chang, Cheng-An Hsu, Huey-Wen Hsiao et al.
5 citations
International Journal of Medical Informatics
Digital Imaging for Blood Diseases
1.25
article

A machine-learning-based algorithm for bone marrow cell differential counting

Ya-Yun Yang, H. H. Chang, Cheng-An Hsu, Huey-Wen Hsiao, Kuo‐Chin Kao, Wen‐Chien Chou, Pei‐Jun Lee, Yu‐Lin Tsai, Ta-Chuan Yu, Che-Pin Lin, Chieh‐Lung Cheng, Pei‐Chen Lin, Chengkun Yang, Chia-Pin Kang, Hsiao-Chun Wang, Sheng‐Chieh Chou, Han-Peng Hsieh, Ming‐Kai Chuang, Chi‐Yuan Yao, Wei-Han Hsu, Qun-Yi Zhang, Feng‐Ming Tien, Sheng-Chuan Huang, Ling-Ping Chen, Jia-Rong Wu, Min-Sheng Wu, Jung-Hsuan Chu, Lin Li, Chih‐Kang Lin, Peipei Yang, Chao‐Yuan Yeh, Che-Wei Chang, Hsiao-Ling Chao, Yi-Mei Chiang, Yung-Chuan Sung, Yuda Chen
article en
5 citations

Abstract

In this study, an AI algorithm was developed and clinically validated using large, multinational datasets. Our algorithm can locate and classify BM cells simultaneously and has potential clinical applicability for automating BM differential counting.

International Journal of Medical InformaticsVol. 194
Aletheia University (TW), Cathay General Hospital (TW), National Taiwan University Hospital (TW), National Yunlin University of Science and Technology (TW), Howard Payne University (US)
Openalex Percentile: Top 18%
Digital Imaging for Blood Diseases
1.25
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