J Pediatr Intensive Care 2016; 05(03): 113-121
DOI: 10.1055/s-0035-1569995
Review Article
Georg Thieme Verlag KG Stuttgart · New York

Computer-Aided Diagnosis for Chest Radiographs in Intensive Care

Nesrine Zaglam
1   Department of Computer Engineering, École Polytechnique, Montréal, Quebec, Canada
2   Research Center, Sainte Justine University Hospital, Montreal, Quebec, Canada
,
Farida Cheriet
1   Department of Computer Engineering, École Polytechnique, Montréal, Quebec, Canada
2   Research Center, Sainte Justine University Hospital, Montreal, Quebec, Canada
,
Philippe Jouvet
2   Research Center, Sainte Justine University Hospital, Montreal, Quebec, Canada
3   Pediatric Intensive Care Unit, Sainte Justine University Hospital, Montreal, Quebec, Canada
› Author Affiliations
Further Information

Publication History

11 July 2015

02 October 2015

Publication Date:
15 December 2015 (online)

Abstract

The chest radiograph is an essential tool for the diagnosis of several lung diseases in intensive care units (ICU). However, several factors make the interpretation of the chest radiograph difficult including the number of X-rays done daily in ICU, the quality of the chest radiograph, and the lack of a standardized interpretation. To overcome these limitations in the interpretation of chest radiographs, researchers have developed computer-aided diagnosis (CAD) systems. In this review, the authors report the methodology used to develop CAD systems including identification of the region of interest, analysis of these regions, and classification. Currently, only a few CAD systems for chest X-ray interpretation are commercially available. Some promising research is ongoing, but the involvement of the pediatric research community is needed for the development and validation of such CAD systems dedicated to pediatric intensive care.

 
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