Detection of Breast Cancer Using Fusion of MLO and CC View Features Through a Hybrid Technique Based on Binary Firefly Algorithm and Optimum-Path Forest Classifier-Reference-Cited by-同舟云学术

Detection of Breast Cancer Using Fusion of MLO and CC View Features Through a Hybrid Technique Based on Binary Firefly Algorithm and Optimum-Path Forest Classifier

Published:2019-08-11 Issue: Volume: Page:23-40
ISSN:2524-552X
Container-title:Applied Nature-Inspired Computing: Algorithms and Case Studies
language:
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Author:

Sasikala S.,Ezhilarasi M.,Arun Kumar S.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-9263-4_2

Reference50 articles.

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4. De Souza Jacomini, R., do Nascimento, M. Z., Dantas, R. D., & Ramos, R. P. (2012). Comparison of PCA and ANOVA for information selection of CC and MLO views in classification of mammograms. In Proceedings of international conference on intelligent data engineering and automated learning (pp. 117–126). Berlin: Springer.

5. Jalalian, A., Mashohor, S., Mahmud, R., Karasfi, B., Saripan, M. I. B., & Ramli, A. R. B. (2017). Foundation and methodologies in computer-aided diagnosis systems for breast cancer detection. EXCLI Journal, 16, 113.

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