Classification of benign and malignant melanocytic lesions: A CAD tool

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

doi:10.1109/ICACCI.2017.8126022

Classification of benign and malignant melanocytic lesions: A CAD tool

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

Department of Information and Communication Technology, Manipal Institute of Technology, Manipal
Department of Computer Science and Engineering, Manipal Institute of Technology, Manipal
Department of Biomedical Engineering, Manipal Institute of Technology, Manipal

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

15 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 language	English
Title of host publication	2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1308-1312
Number of pages	5
Volume	2017-January
ISBN (Electronic)	9781509063673
DOIs	https://doi.org/10.1109/ICACCI.2017.8126022
Publication status	Published - 30-11-2017
Event	2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017 - Manipal, Mangalore, India Duration: 13-09-2017 → 16-09-2017

Conference

Conference	2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017
Country/Territory	India
City	Manipal, Mangalore
Period	13-09-17 → 16-09-17

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Computer Science Applications
Information Systems

Access to Document

10.1109/ICACCI.2017.8126022

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

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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. et al.
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 proceeding › Conference contribution

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Classification of benign and malignant melanocytic lesions: A CAD tool

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