人工智能提高血液学诊断的可靠性

D. Starostka, Richard Dolezilek, K. Chasáková
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引用次数: 0

摘要

血液学诊断是基于不同的细胞和分子分析方法。精确的细胞形态学特征已经被定义为血淋巴样肿瘤和许多非肿瘤性疾病的分类
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial Intelligence Increases Reliability in Diagnostic Hematooncology
Diagnostic hematooncology is based on diverse methods of cellular and molecular analysis. Precise cytomorphological features have been defined for the classification of hema-tolymphoid neoplasms and many non-neoplastic conditions
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