Application of Machine-learning based on Radiomics Features in Differential Diagnosis of Superficial Lymphadenopathy.

Journal: Current medical imaging
Published Date: Jan 1, 2024

Abstract

OBJECTIVE: The accurate diagnosis of superficial lymphadenopathy is challenging. We aim to explore a non-invasive and accurate machine-learning method for distinguishing benign lymph nodes, lymphoma, and metastatic lymph nodes.

Authors

  • Shuyi Lyu
    Department of Interventional Therapy, Ningbo No. 2 Hospital, Ningbo, China.
  • Meiwu Zhang
    Department of Interventional Therapy, Ningbo No. 2 Hospital, Ningbo, China.
  • Lifen Yang
    Department of Ultrasound, Zhenhai Hospital of Traditional Chinese Medicine, Ningbo, China.
  • Baisong Zhang
    Department of Interventional Therapy, Ningbo No. 2 Hospital, Ningbo, China.
  • Libo Gao
    Department of Interventional Therapy, Ningbo NO.2 Hospital, China.
  • Liu Yang
    Department of Ultrasound, Hunan Children's Hospital, Changsha, China.
  • Yan Zhang
    Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang, 110032, China.

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