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Mathematical Modeling of Sensitivity and Specificity for Basal Cell Carcinoma (BCC) Images

  • Sudhakar Singh
  • Shabana Urooj
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 701)

Abstract

In this paper, mathematical modeling for malignant and non-malignant basal cell carcinoma is proposed. Image features are used for the modeling of growth rate, sensitivity, and specificity. Newton’s law and Hooke’s law play very important role in the modeling of growth, sensitivity, and specificity of basal carcinoma cell (BBC). Two features mean and entropy are used for two different positions. These two features are taken from the image data database of 550. Maximum growth rate of non-malignant and malignant BBC for the two different positions are 7.945, 10 and 19.76, 12, respectively. Maximum sensitivity and specificity calculated for malignant and non-malignant images are 0.8425, 0.3225 and 0.8512, 0.1992, respectively.

Keywords

Growth of BCC Sensitivity Specificity Newton’s law 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Department of Electrical EngineeringGautam Buddha UniversityGreater NoidaIndia

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