Article citationsMore>>

Suzuki, S., Iida, N., Shouno, H. and Kido, S. (2016) Architecture Design of Deep Convolutional Neural Network for Diffuse Lung Disease Using Representation Separation Information. Proc. of the Int. Conf. on Parallel and Distributed Processing Techniques and Applications 2016 (PDPTA’16), 1, 387-393.

has been cited by the following article:

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

  AUTHORS: Toru Kimura, Takashi Kawakami, Akihiro Kikuchi, Ryosuke Ooev, Masaki Akiyama, Hiroyuki Horikoshi

  KEYWORDS: Deep Learning, CT Images, Diagnostic Assist Systems, Chronic Obstructive Pulmonary Disease

  JOURNAL NAME: Journal of Computer and Communications, Vol.6 No.1, December 29, 2017

  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.