TY - GEN
T1 - Classification of benign and malignant melanocytic lesions
T2 - 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017
AU - Pathan, Sameena
AU - Lakshmi, Lasya
AU - Siddalingaswamy, P. C.
AU - Gopalakrishna Prabhu, K.
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/11/30
Y1 - 2017/11/30
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85042757149&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85042757149&partnerID=8YFLogxK
U2 - 10.1109/ICACCI.2017.8126022
DO - 10.1109/ICACCI.2017.8126022
M3 - Conference contribution
AN - SCOPUS:85042757149
VL - 2017-January
T3 - 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017
SP - 1308
EP - 1312
BT - 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 13 September 2017 through 16 September 2017
ER -