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Approach to recognition of immature granulocytes using deep learning in peripheral blood smear screening : The potential of AI models using a convolution neural network for blood cell morphology classification
Hiroyuki NOZAKA1), Mihoko KUSHIBIKI2), Kosuke KAMATA3), Kazufumi YAMAGATA1)
1)Department of Bioscience and Laboratory Medicine, Hirosaki University Graduate School of Health Sciences, 2)Department of Clinical Laboratory, Hirosaki University Hospital, 3)Department of Gastroenterology and Hematology, Hirosaki University Graduate School of Medicine
Japanese Journal of Medical Technology 73 (1) 69-77, 2024.
1)Department of Bioscience and Laboratory Medicine, Hirosaki University Graduate School of Health Sciences, 2)Department of Clinical Laboratory, Hirosaki University Hospital, 3)Department of Gastroenterology and Hematology, Hirosaki University Graduate School of Medicine
Japanese Journal of Medical Technology 73 (1) 69-77, 2024.
- アブストラクト: 従量制は110円(税込)、基本料金制は基本料金に含まれます。
- 全文ダウンロード: 従量制、基本料金制の方共に770円(税込) です。
SpO2低値が契機となり超高齢になって判明した異常ヘモグロビン症 Hb Yuda [α2 : codon 130 GCT (Ala) →GAT (Asp) ] の一例 - 動脈血液ガス分析のSaO2とPaO2の乖離より -