Classification of benign and malignant melanocytic lesions: A CAD tool

Sameena Pathan, Lasya Lakshmi, P. C. Siddalingaswamy, K. Gopalakrishna Prabhu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

Computer Aided Diagnostic (CAD) tools for differentiating benign and malignant lesions are primarily of great importance. Most of the CAD tools employ a large and complex feature set. In this paper, a CAD system for classifying benign and malignant lesions using optimal feature set is proposed. The optimal feature set included the prominent color, shape and texture features. The feature set used is inspired by the ABCD dermoscopic rule. The system is tested using PH2 annotated image database. The proposed system achieved an accuracy of 82%, sensitivity of 85.71% and specificity of 81.25%. These shape, color and texture features provide discriminative information about the lesion type. Additionally, an effective hair detection and exclusion algorithm using bottom-hat transform and exemplar based image inpainting is also proposed.

Original languageEnglish
Title of host publication2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1308-1312
Number of pages5
Volume2017-January
ISBN (Electronic)9781509063673
DOIs
Publication statusPublished - 30-11-2017
Event2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017 - Manipal, Mangalore, India
Duration: 13-09-201716-09-2017

Conference

Conference2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017
CountryIndia
CityManipal, Mangalore
Period13-09-1716-09-17

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All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems

Cite this

Pathan, S., Lakshmi, L., Siddalingaswamy, P. C., & Gopalakrishna Prabhu, K. (2017). Classification of benign and malignant melanocytic lesions: A CAD tool. In 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017 (Vol. 2017-January, pp. 1308-1312). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICACCI.2017.8126022
Pathan, Sameena ; Lakshmi, Lasya ; Siddalingaswamy, P. C. ; Gopalakrishna Prabhu, K. / Classification of benign and malignant melanocytic lesions : A CAD tool. 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017. Vol. 2017-January Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1308-1312
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abstract = "Computer Aided Diagnostic (CAD) tools for differentiating benign and malignant lesions are primarily of great importance. Most of the CAD tools employ a large and complex feature set. In this paper, a CAD system for classifying benign and malignant lesions using optimal feature set is proposed. The optimal feature set included the prominent color, shape and texture features. The feature set used is inspired by the ABCD dermoscopic rule. The system is tested using PH2 annotated image database. The proposed system achieved an accuracy of 82{\%}, sensitivity of 85.71{\%} and specificity of 81.25{\%}. These shape, color and texture features provide discriminative information about the lesion type. Additionally, an effective hair detection and exclusion algorithm using bottom-hat transform and exemplar based image inpainting is also proposed.",
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Pathan, S, Lakshmi, L, Siddalingaswamy, PC & Gopalakrishna Prabhu, K 2017, Classification of benign and malignant melanocytic lesions: A CAD tool. in 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017. vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 1308-1312, 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017, Manipal, Mangalore, India, 13-09-17. https://doi.org/10.1109/ICACCI.2017.8126022

Classification of benign and malignant melanocytic lesions : A CAD tool. / Pathan, Sameena; Lakshmi, Lasya; Siddalingaswamy, P. C.; Gopalakrishna Prabhu, K.

2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017. Vol. 2017-January Institute of Electrical and Electronics Engineers Inc., 2017. p. 1308-1312.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Pathan S, Lakshmi L, Siddalingaswamy PC, Gopalakrishna Prabhu K. Classification of benign and malignant melanocytic lesions: A CAD tool. In 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017. Vol. 2017-January. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1308-1312 https://doi.org/10.1109/ICACCI.2017.8126022