Solid Attenuation Components Attention Deep Learning Model to Predict Micropapillary and Solid Patterns in Lung Adenocarcinomas on Computed Tomography.

Abstract

Authors

• Li-Wei Chen
  Department of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University, Taipei, Taiwan.
• Shun-Mao Yang
  Department of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University, Taipei, Taiwan.
• Ching-Chia Chuang
  Department of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University, Taipei, Taiwan.
• Hao-Jen Wang
  Department of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University, Taipei, Taiwan.
• Yi-Chang Chen
  Department of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University, Taipei, Taiwan.
• Mong-Wei Lin
  Department of Surgery, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.
• Min-Shu Hsieh
  Department of Pathology, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.
• Mara B Antonoff
  Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas. Electronic address: mbantonoff@mdanderson.org.
• Yeun-Chung Chang
  Department of Medical Imaging, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.
• Carol C Wu
  University of Texas MD Anderson Cancer Center, Houston, Texas.
• Tinsu Pan
  Department of Imaging Physics, M.D. Anderson Cancer Center, University of Texas, Houston, Texas, USA.
• Chung-Ming Chen
  Institute of Biomedical Engineering, National Taiwan University, Taipei 100, Taiwan.

Keywords

External Resources