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  • 标题:A Study on Diagnostic Assist Systems of Chronic Obstructive Pulmonary Disease from Medical Images by Deep Learning
  • 本地全文:下载
  • 作者:Toru Kimura ; Takashi Kawakami ; Akihiro Kikuchi
  • 期刊名称:Journal of Computer and Communications
  • 印刷版ISSN:2327-5219
  • 电子版ISSN:2327-5227
  • 出版年度:2018
  • 卷号:06
  • 期号:01
  • 页码:21-31
  • DOI:10.4236/jcc.2018.61003
  • 语种:English
  • 出版社:Scientific Research Publishing
  • 摘要:In this paper, we propose new diagnostic assist systems of medical images using deep learning algorithms. Specifically, we aim to develop a diagnostic support system for the very early stage of chronic obstructive pulmonary disease (COPD) based on the CT images. It is said that COPD is a disease that develops due to long-term smoking, and it is said that there are a large number of latent onset reserve forces. By discovering this COPD in the very early period 0 and improving the living conditions, subsequent severity can be avoided in many cases, so a system that will help diagnosis by professional radiologists is needed. We show the some experimental results examined by the constructed system.
  • 关键词:Deep Learning;CT Images;Diagnostic Assist Systems;Chronic Obstructive Pulmonary Disease
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