Colour-texture based image analysis method for assessing the hormone receptors status in breast tissue sections

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn , Issue , 2007, Pages 4985-4988

  Kostopoulos, Spiros ^a   Cavouras, Dionisis ^b   Daskalakis, Antonis ^a   Bougioukos, Panagiotis ^a   Georgiadis, Pantelis ^a   Kagadis, George C ^a   Kalatzis, Ioannis ^b   Ravazoula, Panagiota ^c   Nikiforidis, George ^a  

^a UNIVERSITY OF PATRAS   (Greece)

^b UNIVERSITY OF WEST ATTICA   (Greece)

^c UNIVERSITY HOSPITAL OF PATRAS   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

HORMONES; IMAGE ANALYSIS; IMMUNOLOGY; TISSUE ENGINEERING;

BREAST CARCINOMAS; ESTROGEN RECEPTORS (ER); HORMONAL THERAPY; IMMUNOHISTOCHEMICALLY (IHC);

PROTEINS;

ESTROGEN RECEPTOR;

ARTICLE; BREAST; BREAST TUMOR; CELL NUCLEUS; COMPUTER ASSISTED DIAGNOSIS; CYTOLOGY; ECHOGRAPHY; FEMALE; HUMAN; IMAGE PROCESSING; PATHOLOGY;

BREAST; BREAST NEOPLASMS; CELL NUCLEUS; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; RECEPTORS, ESTROGEN;

EID: 57649201571     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2007.4353459     Document Type: Conference Paper

References (17)

1. M. V. Karamouzis, E. Likaki-Karatza, P. Ravazoula, F. A. Badra, D. Koukouras, E. Tzorakoleftherakis, A. G. Papavassiliou and H. P. Kalofonos, "Non-palpable breast carcinomas: correlation of mammographically detected malignant-appearing microcalcifications and molecular prognostic factors", Int J Cancer, vol. 102, pp. 86-90, Nov 2002.
2. L. K. Diaz and N. Sneige, "Estrogen receptor analysis for breast cancer: current issues and keys to increasing testing accuracy", Adv Anat Pathol, vol. 12, pp. 10-19, Jan 2005.
3. B. Jasani, A. Douglas-Jones, A. Rhodes, S. Wozniak, P. J. Barrett-Lee, J. Gee and R. Nicholson, "Measurement of estrogen receptor status by immunocytochemistry in paraffin wax sections", Methods Mol Med, vol. 120, pp. 127-146, 2006.
4. A. A. Thike, M. J. Chng, S. Fook-Chong and P. H. Tan, "Immunohistochemical expression of hormone receptors in invasive breast carcinoma: correlation of results of H-score with pathological parameters", Pathology, vol. 33, pp. 21-25, Feb 2001.
5. L. K. Diaz, A. Sahin and N. Sneige, "Interobserver agreement for estrogen receptor immunohistochemical analysis in breast cancer: a comparison of manual and computer-assisted scoring methods", Ann Diagn Pathol, vol. 8, pp. 23-27, Feb 2004.
6. R. Mofidi, R. Walsh, P. F. Ridgway, T. Crotty, E. W. McDermott, T. V. Keaveny, M. J. Duffy, A. D. Hill and N. O'Higgins, "Objective measurement of breast cancer oestrogen receptor status through digital image analysis", Eur J Surg Oncol, vol. 29, pp. 20-24, Feb 2003.
7. F. Schnorrenberg, N. Tsapatsoulis, C. S. Pattichis, C. N. Schizas, S. Kollias, M. Vassiliou, A. Adamou and K. Kyriacou, "Improved detection of breast cancer nuclei using modular neural networks", IEEE Eng Med Biol Mag, vol. 19, pp. 48-63, Jan-Feb 2000.
8. H. A. Lehr, D. A. Mankoff, D. Corwin, G. Santeusanio and A. M. Gown, "Application of photoshop-based image analysis to quantification of hormone receptor expression in breast cancer", J Histochem Cytochem, vol. 45, pp. 1559-1565, Nov 1997.
9. J. Bejar, E. Sabo, I. Misselevich, S. Eldar and J. H. Boss, "Comparative study of computer-assisted image analysis and light-microscopically determined estrogen receptor status of breast carcinomas", Arch Pathol Lab Med, vol. 122, pp. 346-352, Apr 1998.
10. S. V. Makkink-Nombrado, J. P. Baak, L. Schuurmans, J. W. Theeuwes and T. van der Aa, "Quantitative immunohistochemistry using the CAS 200/486 image analysis system in invasive breast carcinoma: a reproducibility study", Anal Cell Pathol, vol. 8, pp. 227-245, Apr 1995.
11. N. Otsu, "A Threshold Selection Method from Gray-Level Histograms", IEEE Transactions on Systems, Man, and Cybernetics, vol. 9, pp. 62-66, 1976.
12. K. Laws, "Rapid texture identification", in 1980 Proc. Image Processing for Missile Guidance, pp. 376-380.
13. S. Theodoridis and K. Koutroumbas: Pattern Recognition. San Diego: Elsevier, 2003.
14. E. Gose, R. Johnsonbaugh and S. Jost: Pattern Recognition and Image Analysis. New Jersey: Prentice Hall PTR, 1996.
15. J. L. Fleiss: Statistical Methods for Rates and Proportions. NY: Wiley & Sons, 1981.
16. C. Charpin, P. M. Martin, B. De Victor, M. N. Lavaut, M. C. Habib, L. Andrac and M. Toga, "Multiparametric study (SAMBA 200) of estrogen receptor immunocytochemical assay in 400 human breast carcinomas: analysis of estrogen receptor distribution heterogeneity in tissues and correlations with dextran coated charcoal assays and morphological data", Cancer Res, vol. 48, pp. 1578-1586, Mar 15 1988.
17. S. Kostopoulos, D. Cavouras, A. Daskalakis, P. Ravazoula and G. Nikiforidis, "Image Analysis System For Assessing The Estrogen Receptor's Positive Status In Breast Tissue Carcinomas", in 2006 Proc. International Special Topic Conference on Information Technology in Biomedicine.