Improved Detection of Lung Nodules on Chest Radiographs Using a Commercial Computer-Aided Diagnosis System

2004141 citationsJournal Article

Authors

Shingo Kakeda · University of Occupational and Environmental Health Japan

Junji Moriya · University of Occupational and Environmental Health Japan

Hiromi Sato · University of Occupational and Environmental Health Japan

Takatoshi Aoki · University of Occupational and Environmental Health Japan

Hideyuki Watanabe · University of Occupational and Environmental Health Japan

Hajime Nakata · University of Occupational and Environmental Health Japan

Abstract

This CAD system for digital chest radiographs can assist radiologists and has the potential to improve the detection of lung nodules due to lung cancer.

Topics & Keywords

Lung Cancer Diagnosis and Treatment Radiomics and Machine Learning in Medical Imaging Radiology practices and education

UN Sustainable Development Goals

Good health and well-being

Publication Details

Published in: American Journal of Roentgenology

Volume 182, Issue 2, pp. 505-510

DOI: 10.2214/ajr.182.2.1820505

Field-Weighted Citation Impact: 8.15