Deep Learning Based on ResNet-18 for Classification of Prostate Imaging-Reporting and Data System Category 3 Lesions.

Journal: Academic radiology
Published Date: Feb 1, 2024

Abstract

RATIONALE AND OBJECTIVES: To explore the classification and prediction efficacy of the deep learning model for benign prostate lesions, non-clinically significant prostate cancer (non-csPCa) and clinically significant prostate cancer (csPCa) in Prostate Imaging-Reporting and Data System (PI-RADS) 3 lesions.

Authors

  • Zhen Kang
    Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China.
  • Enhua Xiao
    Department of Radiology, the Second Xiangya Hospital, Central South University, Changsha, China.
  • Zhen Li
    PepsiCo R&D, Valhalla, NY, United States.
  • Liang Wang
    Information Department, Dazhou Central Hospital, Dazhou 635000, China.

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