Development of a computerized method for identifying the posteroanterior and lateral views of chest radiographs by use of a template matching technique-Reference-Cited by-同舟云学术

Development of a computerized method for identifying the posteroanterior and lateral views of chest radiographs by use of a template matching technique

Published:2002-06-21 Issue:7 Volume:29 Page:1556-1561
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Arimura Hidetaka,Katsuragawa Shigehiko,Li Qiang,Ishida Takayuki,Doi Kunio

Publisher

Wiley

Subject

General Medicine

Reference14 articles.

1. Development of an improved CAD scheme for automated detection of lung nodules in digital chest images;Xu;Med. Phys.,1997

2. Analysis of image features of histograms of edge gradient for false positive reduction in lung nodule detection in chest radiographs;Xu;Proc. SPIE,1998

3. Quantitative analysis of geometric-pattern features of interstitial infiltrates in digital chest radiographs;Katsuragawa;J. Digit Imaging,1996

4. Application of artificial neural networks for quantitative analysis of image data in chest radiographs for detection of interstitial lung disease;Ishida;J. Digit Imaging,1998

5. Digital image subtraction of temporally sequential chest images for detection of interval change;Kano;Med. Phys.,1994

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