第40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26日(木) 14:00 - 16:00
  • 場所
    • 名古屋大学IB電子情報館南棟462号室
  • 演者 
    • Prof. Daniel Rueckert(Imperial Collge London)
  • タイトル
    • Deep Learning clinically useful information from medical images
  • アブストラクト
    • This talk will focus on the use of deep learning techniques for the discovery and quantification of clinically useful information from medical images. The talk will describe how deep learning can be used for the reconstruction of medical images from undersampled data, image super-resolution, image segmentation and image classification. We will also show the clinical utility of applications of deep learning for the interpretation of medical images in applications such as brain tumour segmentation, cardiac image analysis and applications in abdominal imaging.

40th seminar.JPG