AAMS Laboratory Medicine & Diagnostics · Vol. 1 · Issue 2 · 2024-06-10
Artificial Intelligence in Hematology: Automated Blood Cell Classification Using Deep Learning
Choi MJ, Yoon SH, Kang JW
Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, South Korea¹; AI Research Center, Samsung Electronics, Seoul, South Korea²
Abstract
Development and clinical validation of a convolutional neural network for automated peripheral blood smear analysis, achieving 98.2% accuracy in classifying 15 cell types across 50,000 cell images.
Keywords: Artificial Intelligence, Deep Learning, Hematology, Blood Cell Classification, Digital Pathology
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