Can 3D artificial intelligence models outshine 2D ones in the detection of intracranial metastatic tumors on magnetic resonance images?

Journal: Journal of the Chinese Medical Association : JCMA
Published Date: Oct 1, 2021

Abstract

BACKGROUND: This study aimed to compare the prediction performance of two-dimensional (2D) and three-dimensional (3D) semantic segmentation models for intracranial metastatic tumors with a volume ≥ 0.3 mL.

Authors

  • Ying-Chou Sun
    Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
  • Ang-Ting Hsieh
    Institute of Data Science and Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan, ROC.
  • Ssu-Ting Fang
    Institute of Statistics, National Chiao Tung University, Taiwan.
  • Hsiu-Mei Wu
    Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan; School of Medicine, National Yang-Ming University, Taipei, Taiwan.
  • Liang-Wei Kao
    Institute of Statistics, National Yang Ming Chiao Tung University, Hsinchu, Taiwan, ROC.
  • Wen-Yuh Chung
    Department of Neurosurgery, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan; School of Medicine, National Yang-Ming University, Taipei, Taiwan.
  • Hung-Hsun Chen
    Center of Teaching and Learning Development, National Chiao Tung University, Taiwan.
  • Kang-Du Liou
    Division of Functional Neurosurgery, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
  • Yu-Shiou Lin
    Institute of Data Science and Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan, ROC.
  • Wan-Yuo Guo
    Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan; School of Medicine, National Yang-Ming University, Taipei, Taiwan.
  • Henry Horng-Shing Lu
    Shing-Tung Yau Center, National Chiao Tung University, 1001 University Road, Hsinchu City, Taiwan. hslu@stat.nctu.edu.tw.

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