Combined empirical mode decomposition and texture features for skin lesion classification using quadratic support vector machine
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Medicine
Link
http://link.springer.com/article/10.1007/s13755-017-0033-x/fulltext.html
Reference23 articles.
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3. Ganster H, Pinz P, Rohrer R, Wildling E, Binder M, Kittler H. Automated melanoma recognition. IEEE Trans Med Imaging. 2001;20(3):233–9.
4. Yuan, X, Yang Z, Zouridakis G, Mullani N. SVM-based texture classification and application to early melanoma detection. In: 28th annual international conference of the IEEE engineering in medicine and biology society, 2006 (EMBS’06), pp. 4775–4778. IEEE, New York; 2006.
5. Lau HT, Al-Jumaily A. Automatically early detection of skin cancer: study based on neural network classification. In: International conference of IEEE soft computing and pattern recognition, 2009 (SOCPAR’09) (2009).
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