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Computer Aided Diagnosis of Skin Tumours from Dermal Images

  • T. R. ThamizhvaniEmail author
  • Suganthi Lakshmanan
  • R. Sivaramakrishnan
Conference paper
Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 28)

Abstract

Skin tumour is uncontrolled growth of skin cells which may be cancerous. The aim is to develop computer aided diagnosis for skin tumours. The dermal images of three types such as benign tumour, malignant melanoma and normal moles obtained from the authorised PH2 database. Pre-processing performed to remove hair cells. Contour based level set technique for segmentation of the lesion from which clinical and morphological features are extracted. The significant features are obtained using Random Subset Feature Selection technique. Classification is performed using three classifiers such as back propagation, pattern recognition and support vector machine. Classifier Efficiency of three classifiers is determined to be 94, 96 and 98% respectively with the Classifier performance parameters. One way ANOVA test is performed to analyse the efficiency of the three classifiers. With these results, Support vector machine is configured as accurate classifier for classification.

Keywords

Contour based level set Random subset feature selection 

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Copyright information

© Springer International Publishing AG  2018

Authors and Affiliations

  • T. R. Thamizhvani
    • 1
    Email author
  • Suganthi Lakshmanan
    • 1
  • R. Sivaramakrishnan
    • 1
  1. 1.Department of Biomedical EngineeringSSN College of EngineeringChennaiIndia

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