An Efficient Acute Lymphoblastic Leukemia Screen Framework Based on Multi-Modal Deep Neural Network.

Journal: International journal of laboratory hematology
Published Date:

Abstract

BACKGROUND: Acute lymphoblastic leukemia (ALL) is a leading cause of death among pediatric malignancies. Early diagnosis of ALL is crucial for minimizing misdiagnosis, improving survival rates, and ensuring the implementation of precise treatment plans for patients.

Authors

  • Qiuming Wang
    Computer Vision Institute, College of Computer Science and Software, Shenzhen University, China.
  • Tao Huang
    The Second Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Xiaojuan Luo
    Department of Laboratory Medicine, Shenzhen Children's Hospital, Shenzhen, China.
  • Xiaoling Luo
    Department of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, PR China.
  • Xuechen Li
    School of Mathematics and Statistics, Xuchang University, Xuchang 461000, China.
  • Ke Cao
    The Third Xiangya Hospital, Central South University, Changsha, China.
  • Defa Li
    Department of Laboratory Medicine, Shenzhen Children's Hospital, Shenzhen, China.
  • Linlin Shen