Effect of image variation on computer-aided detection systems

S. P. Rabbani; P. Maduskar; R. H. H. M. Philipsen; L. Hogeweg; B. van Ginneken

doi:10.1117/12.2043520

18 March 2014 Effect of image variation on computer-aided detection systems

S. P. Rabbani, P. Maduskar, R. H. H. M. Philipsen, L. Hogeweg, B. van Ginneken

Proceedings Volume 9035, Medical Imaging 2014: Computer-Aided Diagnosis; 90352H (2014) https://doi.org/10.1117/12.2043520
Event: SPIE Medical Imaging, 2014, San Diego, California, United States

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.

Citation Download Citation

S. P. Rabbani, P. Maduskar, R. H. H. M. Philipsen, L. Hogeweg, and B. van Ginneken "Effect of image variation on computer-aided detection systems", Proc. SPIE 9035, Medical Imaging 2014: Computer-Aided Diagnosis, 90352H (18 March 2014); https://doi.org/10.1117/12.2043520

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