Segmentation of epidermal tissue with histopathological damage in images of haematoxylin and eosin stained human skin

BMC Medical Imaging

Volumn 14, Issue 1, 2014, Pages

  Haggerty, Juliana M ^a,b   Wang, Xiao N ^c   Dickinson, Anne ^b,c   O'Malley, Chris J ^a   Martin, Elaine B ^a  

^a NEWCASTLE UNIVERSITY   (United Kingdom)

^b ALCYOMICS LTD   (United Kingdom)

^c NEWCASTLE UNIVERSITY   (United Kingdom)

Author keywords

Classification; Colour space; Design of experiments; Epidermis; Histopathological damage; Histopathology; Mathematical morphology; Segmentation

Indexed keywords

COLORING AGENT; DIAGNOSTIC AGENT; EOSIN; HEMATOXYLIN;

ALGORITHM; ARTICLE; COMPUTER ASSISTED DIAGNOSIS; CYTOLOGY; HUMAN; MELANOMA; PATHOLOGY; SENSITIVITY AND SPECIFICITY; SKIN;

ALGORITHMS; COLORING AGENTS; EOSINE YELLOWISH-(YS); HEMATOXYLIN; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MELANOMA; SENSITIVITY AND SPECIFICITY; SKIN;

EID: 84893673319     PISSN: None     EISSN: 14712342     Source Type: Journal    
DOI: 10.1186/1471-2342-14-7     Document Type: Article

References (32)

1. Rubin R, Strayer D, Rubin E, McDonald J. Rubin's Pathology: Clinicopathologic Foundations of Medicine 2007, Baltimore: Lippincott Williams & Wilkins, 5.
2. Ismail SM, Colclough AB, Dinnen JS, Eakins D, Evans DMD, Gradwell E, O'Sullivan JP, Summerell JM, Newcombe R. Reporting cervical intra-epithelial neoplasia (CIN): intra- and interpathologist variation and factors associated with disagreement. Histopathology 1990, 16(4):371-376. 10.1111/j.1365-2559.1990.tb01141.x, 2361652.
3. Allsbrook WC, Mangold KA, Johnson MH, Lane RB, Lane CG, Epstein JI. Interobserver reproducibility of Gleason grading of prostatic carcinoma: general pathologist. Hum Pathol 2001, 32(1):81-88. 10.1053/hupa.2001.21135, 11172299.
4. Brochez L, Verhaeghe E, Grosshans E, Haneke E, Pierard G, Ruiter D, Naeyaert JM. Inter-observer variation in the histopathological diagnosis of clinically suspicious pigmented skin lesions. J Pathol 2002, 196(4):459-466. 10.1002/path.1061, 11920743.
5. Melia J, Moseley R, Ball RY, Griffiths DF, Grigor K, Harnden P, Jarmulowicz M, McWilliam LJ, Montironi R, Waller M, Moss S, Parkinson MC. A UK-based investigation of inter- and intra-observer reproducibility of Gleason grading of prostatic biopsies. Histopathology 2006, 48(6):644-654. 10.1111/j.1365-2559.2006.02393.x, 16681679.
6. Gurcan MN, Boucheron LE, Can A, Madabhushi A, Rajpoot NM, Yener B. Histopathological image analysis: a review. IEEE Rev Biomed Eng 2009, 2:147-171. 2910932, 20671804.
7. Naik J, Doyle S, Basavanhally A, Ganesan S, Feldman MD, Tomaszewski JE, Madabhushi A. A boosted distance metric: application to content based image retrieval and classification of digitized histopathology. Medical Imaging 2009: Computer-Aided Diagnosis, Volume 7260 2009, 72603F. Lake Buena Vista, FL, USA: SPIE, Karssemeijer N, Giger ML.
8. Magee D, Treanor D, Crellin D, Shires M, Smith K, Mohee K, Quirke P. Colour Normalisation in Digital Histopathology Images. Proc Optical Tissue Image analysis in Microscopy, Histopathology and Endoscopy (MICCAI Workshop) 2009, 100-111. London: Daniel Elson.
9. Hafiane A, Bunyak F, Palaniappan K. Fuzzy clustering and active contours for histopathology image segmentation and nuclei detection. 10th International Conference on Advanced Concepts for Intelligent Vision Systems: 2008 2008, 903-914. Juan-les-Pins, France: Springer Berlin Heidelberg.
10. Naik S, Doyle S, Agner S, Madabhushi A, Feldman M, Tomaszewski J. Automated gland and nuclei segmentation for grading of prostate and breast cancer histopathology. IEEE International Symposium on Biomedical Imaging: From Nano to Macro (IBSI 2008, 284-287.
11. Gerger A, Smolle J. Diagnostic tissue elements in melanocytic skin tumors in automated image analysis. Am J Dermatopathol 2003, 25(2):100-106. 10.1097/00000372-200304000-00002, 12652190.
12. Jondet M, Agoli-Agbo R, Dehennin L. Automatic measurement of epithelium differentiation and classification of cervical intraneoplasia by computerized image analysis. Diagn Pathol 2010, 5:7. 10.1186/1746-1596-5-7, 2819044, 20148100.
13. Glotsos D, Spyridonos P, Cavouras D, Ravazoula P, Dadioti PA, Nikiforidis G. Automated segmentation of routinely hematoxylin-eosin-stained microscopic images by combining support vector machine clustering and active contour models. Anal Quant Cytol Histol 2004, 26(6):331-340.
14. Kong H, Gurcan M, Belkacem-Boussaid K. Partitioning histopathological images: an integrated framework for supervised color-texture segmentation and cell splitting. IEEE Trans Med Imaging 2011, 30(9):1661-1677. 3165069, 21486712.
15. Boucheron LE, Bi Z, Harvey NR, Manjunath B, Rimm DL. Utility of multispectral imaging for nuclear classification of routine clinical histopathology imagery. BMC cell biology 2007, 8(Suppl 1):S8. 10.1186/1471-2121-8-S1-S8, 1924513, 17634098.
16. Sahoo PK, Soltani S, Wong AKC. A survey of thresholding techniques. Comput Vision Graphics Image Proc 1988, 41(2):233-260.
17. Sezgin M, Sankur B. Survey over image thresholding techniques and quantitative performance evaluation. J Electron Imaging 2004, 13(1):146-168.
18. Canny J. A computational approach to edge detection. IEEE Trans Pattern Anal Mach Intell 1986, PAMI-8(6):679-698.
19. Kass M, Witkin A, Terzopoulos D. Snakes: active contour models. Int J Comp Vision 1988, 1(4):321-331.
20. Prewitt JMS, Mendelsohn ML. The analysis of cell images. Ann N Y Acad Sci 1966, 128(3):1035-1053.
21. Ridler TW, Calvard S. Picture thresholding using an iterative slection method. IEEE Trans Systems, Man Cybernetics 1978, SMC-8(8):630-632.
22. Trussell HJ. Comments on " Picture thresholding using an iterative selection method" Syst Man Cyb, IEEE T 1979, 9(5):311-311.
23. Otsu O. A threshold selection method from gray-level histogram. IEEE Trans Syst Man Cybern 1979, 9(1):62-66.
24. Petushi S, Katsinis C, Coward C, Garcia F, Tozeren A. Automated identification of microstructures on histology slides. IEEE Int Sym Biomed Imaging From Nano to Macro 2004, 1:424-427.
25. Wang Y, Crookes D, Diamond J, Hamilton P, Turner R. Segmentation of squamous epithelium from ultra-large cervical histological virtual slides. Conf Proc IEEE Eng Med Biol Soc 2007, 2007:775-778.
26. Datar M, Padfield D, Cline H. Color and texture based segmentation of molecular pathology images using HSOMS. IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI): 2008 2008, 292-295.
27. Eramian M, Daley M, Neilson D, Daley T. Segmentation of epithelium in H&E stained odontogenic cysts. J Microsc 2011, 244(3):273-292. 10.1111/j.1365-2818.2011.03535.x, 21974807.
28. Sviland L, Hromadnikova I, Sedlacek P, Cermakova M, Stechova K, Holler E, Eissner G, Schulz U, Kolb HJ, Jackson G, Wang XN, Dickinson AM. Histological correlation between different centers using the skin explant model to predict graft-versus-host disease following bone marrow transplantation. Hum Immunol 2001, 62(11):1277-1281. 10.1016/S0198-8859(01)00318-4, 11704291.
29. Haralick RM, Sternberg SR, Zhuang X. Image analysis using mathematical morphology. IEEE Tran on Pat Anal Mach Intell 1987, PAMI-9(4):532-550.
30. Matheron G. Random Sets and Integral Geometry 1975, New York: Wiley.
31. Sviland L, Dickinson AM. A human skin explant model for predicting graft-versus-host disease following bone marrow transplantation. Clin Pathol 1999, 52:910-913.
32. Soille P. Morphological Image Analysis: Principles and Applications 1999, New York: Springer-Verlag.