Automated identification and quantification of metastatic brain tumors and perilesional edema based on a deep learning neural network.

Journal: Journal of neuro-oncology
PMID: 38133789

Abstract

PURPOSE: This paper presents a deep learning model for use in the automated segmentation of metastatic brain tumors and associated perilesional edema.

Authors

  • Chi-Jen Chou
    Division of Neurosurgery, Department of Surgery, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan.
  • Huai-Che Yang
    Department of Neurosurgery, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan; School of Medicine, National Yang-Ming University, Taipei, Taiwan.
  • Po-Yao Chang
    Department of Electrical Engineering, National Central University, Taoyuan, Taiwan.
  • Ching-Jen Chen
    Department of Neurological Surgery, University of Virginia Health System, Charlottesville, Virginia, USA.
  • Hsiu-Mei Wu
    Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan; School of Medicine, National Yang-Ming University, Taipei, Taiwan.
  • Chun-Fu Lin
    Department of Neurosurgery, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan.
  • I-Chun Lai
    School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.
  • Syu-Jyun Peng
    Biomedical Electronics Translational Research Center, National Chiao Tung University, Hsin-Chu, Taiwan; Institute of Electronics, National Chiao Tung University, Hsin-Chu, Taiwan. Electronic address: blue.year@msa.hinet.net.

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