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Proceedings Paper

Effect of image variation on computer-aided detection systems
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Paper Abstract

As the importance of Computer Aided Detection (CAD) systems application is rising in medical imaging field due to the advantages they generate; it is essential to know their weaknesses and try to find a proper solution for them. A common possible practical problem that affects CAD systems performance is: dissimilar training and testing datasets declines the efficiency of CAD systems. In this paper normalizing images is proposed, three different normalization methods are applied on chest radiographs namely (1) Simple normalization (2) Local Normalization (3) Multi Band Local Normalization. The supervised lung segmentation CAD system performance is evaluated on normalized chest radiographs with these three different normalization methods in terms of Jaccard index. As a conclusion the normalization enhances the performance of CAD system and among these three normalization methods Local Normalization and Multi band Local normalization improve performance of CAD system more significantly than the simple normalization.

Paper Details

Date Published: 18 March 2014
PDF: 7 pages
Proc. SPIE 9035, Medical Imaging 2014: Computer-Aided Diagnosis, 90352H (18 March 2014); doi: 10.1117/12.2043520
Show Author Affiliations
S. P. Rabbani, KTH Royal Institute of Technology (Sweden)
P. Maduskar, Radboud Univ. Nijmegen Medical Ctr. (Netherlands)
R. H. H. M. Philipsen, Radboud Univ. Nijmegen Medical Ctr. (Netherlands)
L. Hogeweg, Radboud Univ. Nijmegen Medical Ctr. (Netherlands)
B. van Ginneken, Radboud Univ. Nijmegen Medical Ctr. (Netherlands)

Published in SPIE Proceedings Vol. 9035:
Medical Imaging 2014: Computer-Aided Diagnosis
Stephen Aylward; Lubomir M. Hadjiiski, Editor(s)

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