Detection skin cancer using SVM and snake model

Conference proceedings article

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Publication Details

Author list: Bumrungkun P., Chamnongthai K., Patchoo W.

Publisher: Hindawi

Publication year: 2018

Start page: 1

End page: 4

Number of pages: 4

ISBN: 9781538626153

ISSN: 0146-9428

eISSN: 1745-4557

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048843782&doi=10.1109%2fIWAIT.2018.8369708&partnerID=40&md5=693a8e46f523ac4c63a927424759456a

Languages: English-Great Britain (EN-GB)

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Abstract

The reporting causes of death in Thailand. The cancer is most common cause of death in Thailand, including colon cancer, lung cancer, breast cancer, cervical cancer, etc. The skin cancer is one of cancers that increase every year. Considering and analyzing features of cancer image, which includes Asymmetry, Border Irregularity, Compact Index, Fractal Dimension, Edge Abruptness, Color variation and Diameter, is popular technique of analysis the patients with skin cancer. To extract and analyze such features, image segmentation plays important role for automatic skin cancer detection system. In this paper, we propose the image segmentation scheme based on Support Vector Machine (SVM) and Snake active contour. SVM is used to help finding the appropriate parameters for snake algorithm. ฉ 2018 IEEE.

Keywords

Skin Cancer, Snake Model