第39回 科研費新学術領域「多元計算解剖学」セミナー

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  • 日時
    • 2017年10月24日(水) 14:45 - 16:15
  • 場所
    • 名古屋大学 IB電子情報館北棟7F 工学部071講義室
  • 演者 
    • Ronald M. Summers, MD, PhD, FSAR
Senior Investigator and Staff Radiologist
Chief, Clinical Image Processing Service
Chief, Imaging Biomarkers and Computer-Aided Diagnosis Laboratory
Radiology and Imaging Sciences
National Institutes of Health Clinical Center
  • タイトル
    • The impact of deep learning on radiology and potential applications to surgery
  • アブストラクト
Major advances in computer science are beginning to have an impact on radiology. The rapid achievements in performance for object detection in natural images have enabled these impacts.
There has been an explosion of research interest and number of publications regarding the use of deep learning in radiology. In this presentation, I will show examples of how deep learning has led to :major performance improvements in radiology image analysis, including image segmentation and computer aided diagnosis. These improvements have potential applications to surgery including image guided :therapy and minimally invasive surgery.