Abstract：
:Bone marrow smear examination is an indispensable diagnostic tool in the evaluation of hematological diseases, but the process of manual differential count is labor extensive. In this study, we developed an automatic system with integrated scanning hardware and machine learning-based software to perform differential cell count on bone marrow smears to assist diagnosis. The initial development of the artificial neural network was based on 3000 marrow smear samples retrospectively archived from Sir Run Run Shaw Hospital affiliated to Zhejiang University School of Medicine between June 2016 and December 2018. The preliminary field validating test of the system was based on 124 marrow smears newly collected from the Second Affiliated Hospital of Harbin Medical University between April 2019 and November 2019. The study was performed in parallel of machine automatic recognition with conventional manual differential count by pathologists using the microscope. We selected representative 600,000 marrow cell images as training set of the algorithm, followed by random captured 30,867 cell images for validation. In validation, the overall accuracy of automatic cell classification was 90.1% (95% CI, 89.8-90.5%). In a preliminary field validating test, the reliability coefficient (ICC) of cell series proportion between the two analysis methods were high (ICC ≥ 0.883, P < 0.0001) and the results by the two analysis methods were consistent for granulocytes and erythrocytes. The system was effective in cell classification and differential cell count on marrow smears. It provides a useful digital tool in the screening and evaluation of various hematological disorders.
journal_name
J Med Systjournal_title
Journal of medical systemsauthors
Jin H,Fu X,Cao X,Sun M,Wang X,Zhong Y,Yang S,Qi C,Peng B,He X,He F,Jiang Y,Gao H,Li S,Huang Z,Li Q,Fang F,Zhang Jdoi
10.1007/s10916-020-01654-ysubject
Has Abstractpub_date
2020-09-07 00:00:00pages
184issue
10eissn
0148-5598issn
1573-689Xpii
10.1007/s10916-020-01654-yjournal_volume
44pub_type
杂志文章abstract：:The Electronic Medical Record (EMR) is a computerized record of clinical, demographic and management information. EMR is an enabling technology that allows physicians to utilize quality improvement processes in the practice of medicine. Oman is one of the Middle Eastern Countries that has implemented an integrated ele...
journal_title：Journal of medical systems
pub_type： 杂志文章
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journal_title：Journal of medical systems
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journal_title：Journal of medical systems
pub_type： 杂志文章
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journal_title：Journal of medical systems
pub_type： 杂志文章,评审
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journal_title：Journal of medical systems
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journal_title：Journal of medical systems
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