Adaptive Splitting and Selection Algorithm for Classification of Breast Cytology Images

Author:

Krawczyk Bartosz,Filipczuk Paweł,Woźniak Michał

Publisher

Springer Berlin Heidelberg

Reference21 articles.

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3. Filipczuk, P., Kowal, M., Marciniak, A.: Feature selection for breast cancer malignancy classification problem. J. Medical Informatics & Technologies 15, 193–199 (2010)

4. Gupta, M.R., Chen, Y.: Theory and use of the em algorithm. Foundations and Trends in Signal Processing 4(3), 224–292 (2010)

5. Hrebień, M., Steć, P., Obuchowicz, A., Nieczkowski, T.: Segmentation of breast cancer fine needle biopsy cytological images. Int. J. Appl. Math. and Comp. Sci. 18(2), 159–170 (2010)

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1. Cytological image analysis with firefly nuclei detection and hybrid one-class classification decomposition;Engineering Applications of Artificial Intelligence;2014-05

2. Nuclei segmentation for computer-aided diagnosis of breast cancer;International Journal of Applied Mathematics and Computer Science;2014-03-01

3. Computer-Aided Diagnosis for Breast Tumor Classification Using Microscopic Images of Fine Needle Biopsy;Advances in Intelligent Systems and Computing;2014

4. Classifier ensemble for an effective cytological image analysis;Pattern Recognition Letters;2013-10

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