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  • 标题:ABCD Rule Based Automatic Computer-Aided Skin Cancer Detection using MATLAB®
  • 本地全文:下载
  • 作者:Nilkamal S. Ramteke ; Shweta V. Jain
  • 期刊名称:International Journal of Computer Technology and Applications
  • 电子版ISSN:2229-6093
  • 出版年度:2013
  • 卷号:4
  • 期号:4
  • 页码:691-697
  • 出版社:Technopark Publications
  • 摘要:Detection of skin cancer in the earlier stage is very critical and this paper proposes and explains the implementation of automatic detection and analysis Skin Cancer from given photograph of patient's cancer affected area. The proposed scheme is using Watershed Segmentation for image segmentation, border detection & decision related with structural nature of lesion, Wavelet Transformation and decomposition for image improvement, de-noising, histogram analysis & for calculating diameter of lesion and mamdani based Fuzzy Inference System color based skin classification based on the pixel color severity. We are using worldwide recognized ABCD rule of cancer diagnostic. We are calculating TDS Index for differentiating and making final decision of non-cancerous (benign), suspicious and cancerous (melanoma) image, which will help patients/doctors/dermatologist/clinicians for taking further medical treatment, which will ultimately saves patients valuable time, money and life.
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