Pigment network-based skin cancer detection

Alfed, Naser, Khelifi, Fouad, Bouridane, Ahmed and Seker, Huseyin (2015) Pigment network-based skin cancer detection. In: 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, pp. 7214-7217. ISBN 978-1-4244-9271-8

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1109/EMBC.2015.7320056


Diagnosing skin cancer in its early stages is a challenging task for dermatologists given the fact that the chance for a patient's survival is higher and hence the process of analyzing skin images and making decisions should be time efficient. Therefore, diagnosing the disease using automated and computerized systems has nowadays become essential. This paper proposes an efficient system for skin cancer detection on dermoscopic images. It has been shown that the statistical characteristics of the pigment network, extracted from the dermoscopic image, could be used as efficient discriminating features for cancer detection. The proposed system has been assessed on a dataset of 200 dermoscopic images of the `Hospital Pedro Hispano' [1] and the results of cross-validation have shown high detection accuracy.

Item Type: Book Section
Uncontrolled Keywords: Pigment network detection, dermoscopic image
Subjects: B900 Others in Subjects allied to Medicine
G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Becky Skoyles
Date Deposited: 10 Jun 2019 13:40
Last Modified: 10 Oct 2019 18:17
URI: http://nrl.northumbria.ac.uk/id/eprint/39608

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