An automatic mitosis detection method for breast cancer histopathology slide images based on objective and pixel-wise textural features classification

IKT 2013 - 2013 5th Conference on Information and Knowledge Technology

Volumn , Issue , 2013, Pages 406-410

  Tashk, Ashkan ^a   Helfroush, Mohammad Sadegh ^a   Danyali, Habibollah ^a   Akbarzadeh, Mojgan ^b  

^a SHIRAZ UNIVERSITY OF TECHNOLOGY   (Iran)

^b SHIRAZ UNIVERSITY OF MEDICAL SCIENCES   (Iran)

Author keywords

Completed Local Binary Pattern (CLBP); Histopathology; Maximum Likelihood Estimation (MLE); Pixel and object wise classification; Support Vector Machine (SVM)

Indexed keywords

ANISOTROPIC DIFFUSION; BREAST CANCER GRADING; EVALUATION CRITERIA; HISTOPATHOLOGICAL IMAGES; HISTOPATHOLOGY; LOCAL BINARY PATTERNS; MORPHOLOGICAL PROCESS; STATISTICAL APPROACH;

DISEASES; GRADING; MAXIMUM LIKELIHOOD ESTIMATION; PIXELS; SCANNING; SUPPORT VECTOR MACHINES;

MEDICAL IMAGING;

EID: 84888627561     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IKT.2013.6620101     Document Type: Conference Paper

References (13)

1. C.W. Elston and I.O. Ellis. Pathological pronostic factors in breast cancer. I. The value of histological grade in breast cancer: Experience from a large study with long-term follow-up. Histopathology, 19:403-410, 1991.
2. Adina Eunice Tutac, Daniel Racoceanu, Wee-Kheng Leow, Jean Romain Dalle, Thomas Putti, Wei Xiong, and Vladimir Cretu, "Translational Approach for Semi-Automatic Breast Cancer Grading Using a Knowledge-Guided Semantic Indexing of Histopathology Images," 2009.
3. Dataset for Mitosis Detection in Breast Cancer Histological Images: An ICPR 2012 Contest: http://ipal.cnrs.fr/ICPR2012/
4. T.K. ten Kate, J.A.M. Belien, A.W.M. Smeulders, and J.P.A. Baak, "Method for Counting Mitoses by Image Processing in Feulgen Stained Breast Cancer Sections," Wiley-Liss Cytometry Journal, Vol. 14, pp. 241-250, 1993.
5. S. Petushi, F. U. Garcia, M. M. Haber, C. Katsinis and A. Tozeren, "Large-scale computations on histology images reveal grade-differentiating parameters for breast cancer," open access journal BioMed Central (BMC) Medical Imaging, Vol. 6, no. 14, 2006, doi:10.1186/1471-2342-6-14.
6. J. Kong, O. Sertel, H. Shimada, K. Boyer, J. Saltz, and M. Gurcan, "Computer-aided Grading of Neuroblastic Differentiation: Multiresolution and Multi-classifier Approach," IEEE Proceeding of International Conference on Image Processing (ICIP), 2007.
7. S. Doyle, S. Agner, A. Madabhushi, M. Feldman, and J. Tomaszewski, "Automated Grading of Breast Cancer Histopathology Using Spectral Clustering with Textural and Architectural Image Features," IEEE Proceeding on International Symposium on Biomedical Imagery (ISBI), 2008.
8. V. Roullier, V.T. Ta, O. Lézoray, and A. Elmoataz "Graph-based Multiresolution Segmentation of Histological Whole Slide Image," IEEE Proceeding on International Symposium on Biomedical Imagery (ISBI), 2010.
9. V. Roulliera, O. Lézoraya, V. T. Ta, and A. Elmoataz, "Multi-resolution graph-based analysis of histopathological whole slide images: Application to mitotic cell extraction and visualization," Computerized Medical Imaging and Graphics, Vol. 35, pp. 603-615, 2011.
10. S. Huh, D. F. Elmer Ker, R. Bise, M. Chen, and T. Kanade, "Automated Mitosis Detection of Stem Cell Populations in Phase-Contrast Microscopy Images," IEEE Trans. On Medical Imaging, Vol. 30, no. 3, 2011.
11. C. W. Hsu, C. C. Chang, and C. J. Lin, A Practical Guide to Support Vector Classification, 2010.
12. Zhenhua Guo, Lei Zhang, and David Zhang, "A Completed Modeling of Local Binary Pattern Operator for Texture Classification," IEEE Trans. on Image Processing, 2010
13. th, 2010.