Visual feature extraction from dermoscopic colour images for classification of melanocytic skin lesions

Authors

Walid Al-Zyoud, German Jordanian University
Athar Abu Helou, German Jordanian University
Eslam AlQasem, German Jordanian University
Nathir A. Rawashdeh, Michigan Technological UniversityFollow

Document Type

Article

Publication Date

6-12-2020

Department

Department of Applied Computing

Abstract

The early diagnosis of Melanoma is a challenging task for dermatologists, because of the characteristic similarities of Melanoma with other skin lesions such as typical moles and dysplastic nevi. Aims: This work aims to help both experienced and non-experienced dermatologists in the early detection of cutaneous Melanoma through the development of a computational helping tool based on the “ABCD” rule of dermoscopy. Moreover, it aims to decrease the need for invasive biopsy procedure for each tested abnormal skin lesion. Methods: This is accomplished through the utilization of MATLAB programming language to build a feature extraction tool for the assessment of lesion asymmetry, borders irregularity, and colors variation in the tested lesion. Results: The helping tool obtained a sensitivity of 81.48%, a specificity of 52.83% and accuracy of 62.50% in the assessment of the Asymmetry Index. A new metric for the borders irregularity index was built. Finally, for the Colors Variation Index algorithm a sensitivity of 51.37%, a specificity of 61.51% and accuracy of 57.80% was achieved. Conclusions: This work created a computational tool based on the ABCD-rule, which is helpful for both experienced and non-experienced dermatologists in the early discrimination of Melanoma than other types of skin lesions and to eliminate the need of the biopsy procedure. A new metric for the Borders Irregularity Index was established depending on the number of inflection points in the lesion’s borders.

Publisher's Statement

© 2020 Al-Zyoud et al. Publisher’s version of record: http://ejobios.org/article/visual-feature-extraction-from-dermoscopic-colour-images-for-classification-of-melanocytic-skin-7629

Publication Title

EurAsian Journal of BioSciences

Recommended Citation

Al-Zyoud, W., Helou, A., AlQasem, E., & Rawashdeh, N. (2020). Visual feature extraction from dermoscopic colour images for classification of melanocytic skin lesions. EurAsian Journal of BioSciences, 14, 1299-1307.
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/14695

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Version

Publisher's PDF