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A Novel Breast Mass Diagnosis System based on Zernike Moments as Shape and Density Descriptors

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Year: 2011
COI code: ICBME18_001
Paper Language: English

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Authors A Novel Breast Mass Diagnosis System based on Zernike Moments as Shape and Density Descriptors

  Amir Tahmasbi - Department of Electrical Engineering, The University of Texas at Dallas, Richardson, TX 75080, USA- Department of Electrical Engineering, Iran University of Science and Technology, Narmak, Tehran 16844, Iran
  Fatemeh Saki - Department of Electrical Engineering, Iran University of Science and Technology, Narmak, Tehran 16844, Iran
  Hamed Aghapanah - Department of Electrical Engineering and Computer Science, Tarbiat Modares University, Tehran 14115, Iran
  Shahriar B Shokouhi - Department of Electrical Engineering, Iran University of Science and Technology, Narmak, Tehran 16844, Iran

Abstract:

In this paper, a novel Computer-aided Diagnosis(CADx) system has been proposed for mass diagnosis inmammography images. Zernike moments are utilized asdescriptors of shape and density characteristics in order toimprove the overall accuracy. The input Regions of Interest(ROI) are segmented and subjected to some preprocessing stages.The outcome of preprocessing stage is a gray-scale imagecontaining co-scaled translated mass which contains both shapeand density characteristics of the mass. Two groups of Zernikemoments have been extracted from the preprocessed images.Considering the performance of the overall system the mosteffective moments have been chosen and applied to a Multi-layerPerceptron (MLP) classifier. The Receiver OperationalCharacteristics (ROC) plot and the performance of overall CADxsystem are analyzed for each group of features. The averageachieved area under ROC curve (Az) and False Positive Rate(FPR) for high-order moments are 0.872 and 18.34%,respectively. Besides, for low-order moments those are equal to0.824 and 15.44%, respectively.

Keywords:

Computer aided diagnosis; mammography; multi layer Perceptron; Zernike moments

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COI code: ICBME18_001

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Tahmasbi, Amir; Fatemeh Saki; Hamed Aghapanah & Shahriar B Shokouhi, 2011, A Novel Breast Mass Diagnosis System based on Zernike Moments as Shape and Density Descriptors, 18th Iranian conference on Biomedical Engineering, تهران, انجمن مهندسي پزشكي ايران, دانشگاه تربيت مدرس, https://www.civilica.com/Paper-ICBME18-ICBME18_001.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Tahmasbi, Amir; Fatemeh Saki; Hamed Aghapanah & Shahriar B Shokouhi, 2011)
Second and more: (Tahmasbi; Saki; Aghapanah & Shokouhi, 2011)
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Type: state university
Paper No.: 20397
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