Computer aided early detection and classification of malignant melanoma

Shoaib Shafiq, P. W.C. Prasad, Abeer Alsadoon, Salih Ali, Amr Elchouemi

Research output: Book chapter/Published conference paperConference paper

Abstract

The diagnosis and application of Skin Cancer using Image Processing are a non-invasive technique. Currently, a lot of methods are present in the analysis and diagnosis of lesions, which provide quantitative information regarding a lesion and act as an early-warning method for it. This presented diagnosis can be used in hospitals as an alternate method for skin cancer detection and can help domain experts in reducing the time for its classification. The proposed method focuses on the classification of Skin Cancer with high accuracy by first reducing the noise from the images using Dull-Razor software, then segmenting the image using an automatic segmentation process. Important features are then extracted from the image using the GLCM and basic statistical method. The features are then fed into SVM to classify the image data. The investigation is carried on 50 normal and 50 melanoma images obtained from DermNet and ISIC archive.
Original languageEnglish
Title of host publicationProceedings - 2018 10th International Conference on Computational Intelligence and Communication Networks, CICN 2018
EditorsD. M. Akbar Hussain, Geetam Singh Tomar, Geetam Singh Tomar
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages92-97
Number of pages6
ISBN (Electronic)9781538625774
DOIs
Publication statusPublished - Aug 2018
Event10th International Conference on Computational Intelligence and Communication Networks, CICN 2018 - Esbjerg, Denmark
Duration: 17 Aug 201819 Aug 2018

Publication series

NameProceedings - 2018 10th International Conference on Computational Intelligence and Communication Networks, CICN 2018

Conference

Conference10th International Conference on Computational Intelligence and Communication Networks, CICN 2018
CountryDenmark
CityEsbjerg
Period17/08/1819/08/18

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  • Cite this

    Shafiq, S., Prasad, P. W. C., Alsadoon, A., Ali, S., & Elchouemi, A. (2018). Computer aided early detection and classification of malignant melanoma. In D. M. Akbar Hussain, G. S. Tomar, & G. S. Tomar (Eds.), Proceedings - 2018 10th International Conference on Computational Intelligence and Communication Networks, CICN 2018 (pp. 92-97). [8864942] (Proceedings - 2018 10th International Conference on Computational Intelligence and Communication Networks, CICN 2018). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CICN.2018.8864942