Segmentation of stained lymphoma tissue section images

Advances in Intelligent and Soft Computing

Volumn 69, Issue , 2010, Pages 101-113

  Neuman, Urszula ^a   Korzynska, Anna ^a   Lopez, Carlos ^b   Lejeune, Marylene ^b  

^a INSTITUTE OF BIOCYBERNETICS AND BIOMEDICAL ENGINEERING   (Poland)

^b HOSPITAL VERGE DE LA CINTA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE THRESHOLDS; COLOR IMAGES; LYMPH NODE; POST PROCESSING; PRE-PROCESSING; PROGNOSTIC FACTORS; SUPPORTING TOOL; TISSUE SECTIONS; WATERSHED SEGMENTATION;

INFORMATION TECHNOLOGY; ONCOLOGY; TISSUE;

IMAGE SEGMENTATION;

EID: 77956895540     PISSN: 18675662     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-13105-9_11     Document Type: Article

References (41)

1. Swerdlow, S.H., Campo, E., Harris, N.L., Jaffe, E.S., Pileri, S.A., Stein, H., Thiele, J., Vardiman, J.W.: WHO Classification of Tumours of Haematopoietic and Lymphoid Tis≠sues. IARC (2007)
2. Alvaro, T., Lejeune, M., Salvado, M.T., et al.: Immunohistochemical patterns of reac≠tive microenvironment associated with the clinico-biological behavior in follicular lym-phoma patients. J. Clin. Oncol. 24(34), 5350-5357 (2006) (Pubitemid 46623165)
3. Farinha, P., AlTourah, A., Gill, K., Klasa, R., Connors, J.M., Gascoyne, R.D.: The ar≠chitectural pattern of foxp3-positive t cells in follicular lymphoma is an independent predictor of survival and histologic transformation. Blood 115(2), 289-295 (2010)
4. Wahlin, B.E., Aggarwal, M., Montes-Moreno, S., et al.: A unifying microenvironment model in follicular lymphoma: outcome is predicted by programmed death-1-positive, regulatory, cytotoxic, and helper t cells and macrophages. Clin. Cancer Res. 16(2), 637-650 (2010)
5. Bartels, P.H., Montironi, R., da Silva, D.V., Hamilton, P.W., Thompson, D., Vaught, L., Bartels, H.G.: Tissue architecture analysis inprostate cancer and its precursore: An inno≠vative approach to computerized histometry. Rur. Urol. 35, 484-491 (1999) (Pubitemid 29229554)
6. Hamilton, P.W., Bartels, P., Wilson, R.H., Sloan, J.M.: Nuclear measurements in normal colorectal glands. Anal. Quant. Cytol. Histol. 17, 397-405 (1995)
7. Wied, P.B.G.: Automated screening for cervical cancer: Diagnostic decision procedures. Acta. Cytol. 41, 6-10 (1997)
8. Minot, D.M., Kipp, B.R., Root, R.M., et al.: Automated cellular imaging system iii for assessing her2 status in breast cancer specimens: development of a standardized scoring method that correlates with fish. Am. J. Clin. Pathol. 132(1), 133-138 (2009)
9. Zhang, K., Prichard, J.W., Yoder, S., De, J., Lin, F.: Utility of skp2 and mib-1 in grad≠ing follicular lymphoma using quantitative imaging analysis. Hum. Pathol. 38, 878-882 (2007) (Pubitemid 46726512)
10. Elhafey, A.S., Papadimitriou, J.C., El-Hakim, M.S., El-Said, A., Ghannam, B.B.: Sil-verberg sg. computerized image analysis of p53 and proliferating cell nuclear anti≠gen expression in benign, hyperplastic, and malignant endometrium. Arch. Pathol. Lab Med. 125, 872-879 (2001) (Pubitemid 32623183)
11. Franzen, L.E., Hahn-Stromberg, V., Edvardsson, H., Bodin, L.: Characterization of colon carcinoma growth pattern by computerized morphometry: definition of a complexity in≠dex. Int. J. Mol. Med. 22, 465-472 (2008)
12. Hannen, E.J., van der Laak, J.A., Kerstens, H.M., et al.: Quantification of tumour vas-cularity in squamous cell carcinoma of the tongue using card amplification, a systematic sampling technique, and true colour image analysis. Anal. Cell. Pathol. 22, 183-192 (2001) (Pubitemid 32960009)
13. Lehr, H.A., van der Loos, C.M., Teeling, P., et al.: Complete chromogen separation and analysis in double immunohistochemical stains using photoshop-based image analysis. J. Histochem. Cytochem. 47, 119-126 (1999)
14. Carai, A., Diaz, G., Cruz, S.R., et al.: Computerized quantitative color analysis for his-tological study of pulmonary fibrosis. Anticancer Res. 22, 3889-3894 (2002) (Pubitemid 36134410)
15. Loukas, C.G., Wilson, G.D., Vojnovic, B., et al.: An image analysis based approach for automated counting of cancer cell nuclei in tissue sections. Cytometry A 55, 30-42 (2003) (Pubitemid 37522519)
16. Wang, S., Saboorian, M.H., Frenkel, E.P., et al.: Assessment of her-2/neu status in breast cancer. Automated cellular imaging system (acis)-assisted quantitation of immunohis-tochemical assay achieves high accuracy in comparison with fluorescence in situ hy≠bridization assay as the standard. Am. J. Clin. Pathol. 116, 495-503 (2001) (Pubitemid 34450283)
17. Kayser, K., Radziszewski, D., Bzdy, P., et al.: E-health and tissue-based diagnosis: The implementation of virtual pathology institutions. In: Workshop E-health in Com. Euro. (2004)
18. Schulerud, H., Kristensen, G.B., Liestol, K., et al.: A review of caveats in statistical nuclear image analysis. Analit. Cell. Pathol. 16, 63-82 (1998) (Pubitemid 28218614)
19. Markiewicz, T., Osowski, S., Patera, J., Kozlowski, W.: Image processing for accurate cell recognition and count on histologic slides. Analyt. Quant. Cytl. Histol. 28(5), 281-291 (2006) (Pubitemid 44622504)
20. Markiewicz, T., Wisniewski, P., Osowski, S., et al.: Comparative analysis of methods for accurate recognition of cells through nuclei staining of ki-67 in neuroblastoma and estrogen/progesterone status staining in breast cancer. Analyt. Quant. Cytl. Histol. 31(1), 49-62 (2009)
21. Hyun-Ju, C., Ik-Hwan, C., Nam-Hoom, C., Choi, H.K.: Color image analysis for quan≠tifying renal tumor angiogenesis. Analyt. Quant. Cytl. Histol. 27, 43-51 (2005)
22. Vandenbroucke, N., Macaire, L., Postaire, J.G.: Color image segmentation by pixel clas≠sification in an adapted hybrid color space. Comput. Vis. Image Und. 90, 190-216 (2003)
23. Park, S.H., Yun, I.D., Lee, S.U.: Color image segmentation based on 3d clustering. mor≠phological approach. Pattern Recognition 31, 1061-1076 (1998) (Pubitemid 128369834)
24. Koprowski, R., Wróbel, Z.: The cell structures segmentation. Advances in Soft Comput≠ing, pp. 569-576. Springer, Heidelberg (2005)
25. Cha, S.H.: A fast hue-based colour image indexing algorithm. MG&V 11, 285-295 (2002)
26. Brey, E.M., Lalani, Z., Johnston, C., et al.: Automated selection of dab-labeled tissue for immunohistochemical quantification. J. Histochem. Cytochem. 51, 575-584 (2003) (Pubitemid 36520613)
27. Fu, K.S., Muib, J.K.: A survey on image segmentation. Pattern Recogn. 13, 3-16 (1981)
28. Pham, L.D., Xu, C., Prince, J.L.: Current methods in medical image segmentation. Annu. Rev. Biomed. Eng. 02, 315-337 (2000)
29. Sezgin, M.: Survey over image thresholding techniques and quantitative performance evaluation (2004)
30. Lee, C.K., Li, C.H.: Adaptive thresholding via gaussian pyramid. In: International Con≠ference on Circuits and Systems (1991)
31. Koprowski, R., Wróbel, Z.: Automatic segmentation of biological cell structures based on conditional opening or closing. MG & V 14, 285-307 (2005)
32. Vincent, L., Soille, P.: Watersheds in digital spaces: An efficient algorithm based on immersion simulations. IEEE Trans. Pattern Anal. Mach. Intell. 13, 583-598 (1991) (Pubitemid 21675616)
33. Adelson, E.H., Anderson, C.H.: Pyramid methods in image processing. RCA Engi≠neer 29(6), 33-41 (1984)
34. Seidal, T., Balaton, A.J., Battifora, H.: Interpretation and quantification of immunostains. Am. J. Surg. Pathol. 25, 1204-1207 (2001) (Pubitemid 32777722)
35. Leong, A.S.: Quantitation in immunohistology: fact or fiction? a discussion of variables that influence results. Appl. Immunohistochem. Mol. Morphol. 12, 1-7 (2004) (Pubitemid 38332311)
36. Serra, J., Vincent, L.: An overview of morphological filtering. Circuits, Systems, and Signal Processing 11, 47-108 (1992)
37. Nieniewski, M.: Morfologia matematyczna w przetwarzaniu obrazow. PLJ Warszawa (1998)
38. Kan, J., Qing-Min, L., Dai, S.Y.: A novel white blood cell segmentation scheme using scale-space filtering and watershed clustering. In: 2003 International Conference on Ma≠chine Learning and Cybernetics, vol. 5, pp. 2820-2825 (2003)
39. Iwaruski, M.: Metody morfologiczne w przetwarzaniu obrazów cyfrowych. Akademicka Oficyna Wydawnicza EXIT (2009)
40. Vincent, L.: Morphological grayscale reconstruction in image analysis: Applications and efficient algorithms. IEEE Transactions on Image Processing 2, 176-201 (1993) (Pubitemid 23692871)
41. Iwanowski, M., Pierre, S.: Morphological Refinement of an Image Segmentation. In: Gagalowicz, A., Philips, W. (eds.) CAIP 2005. LNCS, vol. 3691, pp. 538-545. Springer, Heidelberg (2005)