EVALUATION OF CONSENSUS CLUSTERING PERFORMANCE ON HISTOPATHOLOGICAL BREAST CANCER IMAGES
DOI:
https://doi.org/10.24867/03BE04JankovicKeywords:
Consensus clustering, semi-supervised learning, histopathological images, breast cancer, PCAAbstract
In this paper we present histopathological breast cancer image analysis, feature extraction, and their clustering into benign and malignant. We used six methods for feature extraction, PCA for dimensionality reduction, ensamble clustering and semi-supervised learning were evaluated and adjusted rand index was used as an external validation measure.
References
[1] World Health Organization: http://www.who.int/cancer/prevention/diagnosis-screening/breast-cancer/en/
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[12] A. Antić, "Klasifikacija histopatoloških slika tumora dojke", Diplomski rad, Novi Sad : FTN, 2018.
[2] F. A. Spanhol et al., "A Dataset for Breast Cancer Histopathological Image Classification", IEEE Transactions on Biomedical Engineering, str. 1455-1463, 2016.
[3] M. Macenko et al, "A Methode For Normalizing Histology Slides For Quantitive Analysis", IEEE International Symposium on Biomedical Imaging, str. 209., 2013.
[4] T. Ojala et al., "Multiresolution gray-scale and rotation invariant texture classification with local binary patterns", IEEE Trans. Pattern Anal.Mach. Intell., str. 971–987, 2002.
[5] Z. Guo et al.,, "A completed modeling of local binary pattern operator for texture classification", IEEE Trans. Image Process, str. 1657–1663, 2010.
[6] V. Heikkilin et al, "Blur insensitive texture classification using local phase quantization", Proc. 3rd Int. Conf. Image Signal Process., str. 236–243, 2008.
[7] R. Haralick et al, "Textural features for image classification", IEEE Trans. Syst. Man Cybern., str. 610-621, 1973.
[8] L. P. Coelho et al, "Structured literature image finder: extracting information from text and images in biomedical literature", New York : Springer, str.121, 2010.
[9] E. Rublee et al, "ORB: An efficient alternative to SIFT or SURF", Proc. IEEE Int. Conf. Comput. Vision, str. 2564–2571, 2011.
[10] L.N. Fred, "Data clustering using evidence accumulation", IEEE Object recognition supported by user interaction for service robots., 2002.
[11] H. Aidos, "Semi-Supervised Consensus Clustering for ECG Pathology Classification", Proc European Conf. Machine Learning and Principles and Practice of Knowledge Discovery in Databases, str. 150-164, 2015.
[12] A. Antić, "Klasifikacija histopatoloških slika tumora dojke", Diplomski rad, Novi Sad : FTN, 2018.
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Published
2019-05-22
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Section
Electrotechnical and Computer Engineering
