Radiomics model and deep learning model based on T1WI image for acute lymphoblastic leukemia identification.

Journal: Clinical radiology
Published Date: May 3, 2024

Abstract

AIM: This study aimed to develop highly precise radiomics and deep learning models to accurately detect acute lymphoblastic leukemia (ALL) using a T1WI image.

Authors

  • Q Cai
  • H Tang
    College of Physics and Information Engineering, Fuzhou University, Fuzhou, China.
  • W Wei
    Guangxi Key Laboratory of AIDS Prevention and Treatment & Guangxi Universities Key Laboratory of Prevention and Control of Highly Prevalent Disease, School of Public Health, Guangxi Medical University,Nanning 530021, Guangxi,China.
  • H Zhang
    Quantum Science and Engineering Centre (QSec), Nanyang Technological University, Singapore, 639798, Singapore.
  • K Jin
    Department of Radiology, The Affiliated Children's Hospital of Xiangya School of Medicine, Central South University (Hunan Children's Hospital), Changsha, China. Electronic address: jinke001@sina.com.
  • T Yi
    Department of Radiology, The Affiliated Children's Hospital of Xiangya School of Medicine, Central South University (Hunan Children's Hospital), Changsha, China. Electronic address: yiting127@126.com.

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