Morphogo: An Automatic Bone Marrow Cell Classification System on Digital Images Analyzed by Artificial Intelligence.

Journal: Acta cytologica
Published Date: Jan 1, 2020

Abstract

INTRODUCTION: The nucleated-cell differential count on the bone marrow aspirate smears is required for the clinical diagnosis of hematological malignancy. Manual bone marrow differential count is time consuming and lacks consistency. In this study, a novel artificial intelligence (AI)-based system was developed to perform cell automatic classification of bone marrow cells and determine its potential clinical applications.

Authors

  • Xinyan Fu
    Division of Medical Technology Development, Hangzhou Zhiwei Information & Technology Ltd., Hangzhou, China.
  • May Fu
    Department of Pathology and Laboratory Medicine, University of Texas, Southwestern Medical Center, Dallas, Texas, USA.
  • Qiang Li
    Department of Dermatology, Air Force Medical Center, PLA, Beijing, People's Republic of China.
  • Xiangui Peng
    Department of Hematology, The Xinqiao Hospital of Army Medical University, Chongqing, China.
  • Ju Lu
    Division of Medical Technology Development, Hangzhou Zhiwei Information & Technology Ltd., Hangzhou, China.
  • Fengqi Fang
    Department of Oncology, The First Hospital of Dalian Medical University, Dalian, China.
  • Mingyi Chen
    Department of Pathology and Laboratory Medicine, University of Texas, Southwestern Medical Center, Dallas, Texas, USA, mingyi.chen@utsouthwestern.edu.

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