A Study on Diagnostic Assist Systems of Chronic Obstructive Pulmonary Disease from Medical Images by Deep Learning

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DOI: 10.4236/jcc.2018.61003    1,191 Downloads   2,928 Views  Citations

ABSTRACT

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.

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Kimura, T. , Kawakami, T. , Kikuchi, A. , Ooev, R. , Akiyama, M. and Horikoshi, H. (2018) A Study on Diagnostic Assist Systems of Chronic Obstructive Pulmonary Disease from Medical Images by Deep Learning. Journal of Computer and Communications, 6, 21-31. doi: 10.4236/jcc.2018.61003.

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