Differentiation performance of artificial intelligence models using deep learning in lymphocyte morphology recognition: Potential of artificial intelligence in lymphocytosis analysis - OGASAWARA, Shu; KAWASHIMA, Kentaro; KAMATA, Kosuke; UENO, Hiroki; NOZAKA, Hiroyuki; KUSHIBIKI, Mihoko; ISHIYAMA, Masahiro; YAMAGATA, Kazufumi (Japanese Journal of Medical Technology, 2025)
Keywords: acute lymphoblastic leukemia; artificial intelligence; convolutional neural network; deep learning; reactive lymphocytosis