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

• 作者: Akihiro Kikuchi Hiroyuki Horikoshi Masaki Akiyama Ryosuke Ooev Takashi Kawakami Toru Kimura
• 来源期刊: 电脑和通信(英文)
• 学科: 医学
• 关键词: Deep Learning CT IMAGES DIAGNOSTIC Assist SYSTEMS Chronic OBSTRUCTIVE PULMONARY Disease
• 年，卷（期）: 2018,（1）
• 页码范围: 21-31
• 页数: 11页
• 分类号: R73

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.