NDLI: Classification of malignant melanoma and benign skin lesions: implementation of automatic ABCD rule

Content Provider	IET Digital Library
Author	Kasmi, Reda Mokrani, Karim
Abstract	The ABCD (asymmetry, border irregularity, colour and dermoscopic structure) rule of dermoscopy is a scoring method used by dermatologists to quantify dermoscopy findings and effectively separate melanoma from benign lesions. Automatic detection of the ABCD features and separation of benign lesions from melanoma could enable earlier detection of melanoma. In this study, automatic ABCD scoring of dermoscopy lesions is implemented. Pre-processing enables automatic detection of hair using Gabor filters and lesion boundaries using geodesic active contours. Algorithms are implemented to extract the characteristics of ABCD attributes. Methods used here combine existing methods with novel methods to detect colour asymmetry and dermoscopic structures. To classify lesions as melanoma or benign nevus, the total dermoscopy score is calculated. The experimental results, using 200 dermoscopic images, where 80 are malignant melanomas and 120 benign lesions, show that the algorithm achieves 91.25% sensitivity of 91.25 and 95.83% specificity. This is comparable to the 92.8% sensitivity and 90.3% specificity reported for human implementation of the ABCD rule. The experimental results show that the extracted features can be used to build a promising classifier for melanoma detection.
Starting Page	448
Ending Page	455
Page Count	8
ISSN	17519659
Volume Number	10
e-ISSN	17519667
Issue Number	Issue 6, Jun (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/10/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2015.0385
Journal	IET Image Processing
Publisher Date	2016-06-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	ABCD Features Automatic ABCD Rule Automatic ABCD Scoring Benign Skin Lesions Biology And Medical Computing Biomedical Imaging/measurement Biomedical Optical Imaging Cancer Colour Asymmetry Computer Vision And Image Processing Technique Dermoscopic Image Dermoscopic Structures Dermoscopy Feature Extraction Gabor Filter Geodesic Active Contours Image Classification Image Recognition Lesion Boundaries Malignant Melanoma Classification Medical Image Processing Melanoma Detection Optical And Laser Radiation Patient Diagnostic Method And Instrumentation Scoring Method Skin
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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