Development and Evaluation of a Leukemia Diagnosis System Using Deep Learning in Real Clinical Scenarios

• Main Authors: Min Zhou (Author), Kefei Wu (Author), Lisha Yu (Author), Mengdi Xu (Author), Junjun Yang (Author), Qing Shen (Author), Bo Liu (Author), Lei Shi (Author), Shuang Wu (Author), Bin Dong (Author), Hansong Wang (Author), Jiajun Yuan (Author), Shuhong Shen (Author), Liebin Zhao (Author)
• Format: Book
• Published: Frontiers Media S.A., 2021-06-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Leukemia is the most common malignancy affecting children. The morphologic analysis of bone marrow smears is an important initial step for diagnosis. Recent publications demonstrated that artificial intelligence is able to classify blood cells but a long way from clinical use. A total of 1,732 bone...