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 paperpeer-review


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
Subtitle of host publicationCICN 2018
EditorsD. M. Akbar Hussain, Geetam Singh Tomar
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages6
ISBN (Electronic)9781538625774
ISBN (Print)9781538625798 (Print on demand)
Publication statusE-pub ahead of print - 14 Oct 2019
Event10th International Conference on Computational Intelligence and Communication Networks, CICN 2018 - Aulborg University, Esbjerg, Denmark
Duration: 17 Aug 201819 Aug 2018 (Conference website) (conference welcome)


Conference10th International Conference on Computational Intelligence and Communication Networks, CICN 2018
OtherThe 10th International Conference on Computational Intelligence and Communication Networks (CICN 2018) is organized to address various issues to prosper the creation of intelligent solutions in future. The aim is to bring together worldwide leading researchers, developers, practitioners and educators interested in advancing the state of the art in computational intelligence and communication Networks for exchanging knowledge that encompasses a broad range of disciplines among various distinct communities. It is expected that researchers will bring new prospect for collaboration across disciplines and gain idea facilitating novel breakthrough. The theme for this conference is Innovating and Inspiring the researchers to adopt the outcome for implementation.
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