Robust automated tumour segmentation on histological and immunohistochemical tissue images

PLoS ONE

Volumn 6, Issue 2, 2011, Pages

  Wang, Ching Wei ^a  

^a NATIONAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

TUMOR MARKER;

ARTICLE; AUTOANALYSIS; CANCER DIAGNOSIS; CLINICAL EVALUATION; COMPUTER ANALYSIS; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; EXTRACTION; HISTOPATHOLOGY; IMAGE ANALYSIS; IMAGE ENHANCEMENT; IMAGE PROCESSING; IMAGE QUALITY; IMAGE RECONSTRUCTION; IMAGING SYSTEM; IMMUNOHISTOCHEMISTRY; INTERMETHOD COMPARISON; LABORATORY AUTOMATION; LUNG CARCINOMA; PROCESS DEVELOPMENT; QUANTITATIVE ANALYSIS; SEPARATION TECHNIQUE; TISSUE MICROARRAY; TISSUE STRUCTURE; ALGORITHM; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; DIAGNOSTIC IMAGING; EVALUATION; HUMAN; INSTRUMENTATION; METABOLISM; METHODOLOGY; MICROTOMY; NEOPLASM; PATHOLOGY; PRODUCTIVITY; REPRODUCIBILITY; STANDARD; VALIDATION STUDY;

ALGORITHMS; DIAGNOSTIC IMAGING; EFFICIENCY; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; IMMUNOHISTOCHEMISTRY; MICROTOMY; MODELS, BIOLOGICAL; NEOPLASMS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; TISSUE ARRAY ANALYSIS;

EID: 79952214714     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0015818     Document Type: Article

References (22)

1. Avninder S, Ylaya K, Hewitt SM, (2008) Tissue microarray: a simple technology that has revolutionized research in pathology. J Postgrad Med 54: 158-162.
2. Jawhar NM, (2009) Tissue Microarray: A rapidly evolving diagnostic and research tool. Ann Saudi Med 29: 123-127.
3. Voduc D, Kenney C, Nielsen TO, (2008) Tissue microarrays in clinical oncology. Semin Radiat Oncol 18: 89-97.
4. Zhang DY, Ye F, Gao L, Liu X, Zhao X, et al. (2009) Proteomics, pathway array and signaling network-based medicine in cancer. Cell Div 4: 20.
5. Brey EM, Lalani Z, Johnston C, Wong M, McIntire LV, et al. (2003) Automated selection of DAB-labeled tissue for immunohistochemical quantification. J Histochem Cytochem 51 (5): 575-84.
6. Law KW, Lamb KY, Lama FK, Wonga KW, Poona LS, et al. (2003) Image analysis system for assessment of immunohistochemically stained proliferative marker (MIB-1) in oesophageal squamous cell carcinoma. Computer Methods and Programs in Biomedicine 70 (1): 37-45.
7. Mao KZ, Zhao P, Tan PH, (2006) Supervised learning-based cell image segmentation for p53 immunohistochemistry. IEEE Trans Biomed Eng 53 (6): 1153-63.
8. Pham NA, Morrison A, Schwock J, Aviel-Ronen S, Iakovlev V, et al. (2007) Quantitative image analysis of immunohistochemical stains using a CMYK color model. Diagn Pathol 2 (8).
9. Seidal T, Balaton AJ, Battifora H, (2001) Interpretation and quantification of immunostains. Am J Surg Pathol 25 (9): 1204-1207.
10. Camp RL, Chung GG, Rimm DL, (2002) Automated subcellular localization and quantification of protein expression in tissue microarrays. Nat Me 8 (11): 1323-1327.
11. Bast RC Jr, Lilja H, Urban N, Rimm DL, Fritsche H, Gray J, et al. (2005) Translational crossroads for biomarkers. Clin Cancer Res 11 (17): 6103-6108.
12. Karacali B, Tozeren A, (2007) Automated detection of regions of interest for tissue microarray experiments: an image texture analysis. BMC Med Imaging 7.
13. Reed JC, (2006) Proapoptotic multidomain Bcl-2/Bax-family proteins: mechanisms, physiological roles, and therapeutic opportunities. Cell Death Differ 13: 1378-1386.
14. Berthod M, Kato Z, Yu S, Zerubia J, (1996) Bayesian image classification using Markov random fields. Image and Vision Computing 14: 285-295.
15. Van Der Laak JA, Pahlplatz MM, Hanselaar AG, de Wilde PC, (2000) Hue-saturation-density (HSD) model for stain recognition in digital images from transmitted light microscopy. Cytometry 39 (4).
16. Ruifrok AC, Johnston DA, (2001) Quantification of histochemical staining by color deconvolution. Analytical and Quantitative Cytology and Histology 23: 291-299.
17. Wang C, Fennell D, James J, Kelly P, Hamilton P, (2010) New Computer Vision Approach in the Classification of Adenocarcinoma and Squamous NSCLC using H&E Tissue Images. Cellular Oncology 32 (3): 235.
18. Besag J, (1986) On the statistical analysis of dirty pictures. IJ Roy. Statis. Soc. B.
19. Geman S, Geman D, (1984) Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images. IEEE Trans Patt Analysis and Mach Inte 6: 721-741.
20. Metropolis N, Rosenbluth A, Rosenbluth M, Teller A, Teller E, (1953) Equation of state calculations by fast computing machines. J Chem Physics 21: 1087-1092.
21. Kato Z, Zerubia J, Berthod M, (1992) Satellite Image Classification Using a Modified Metropolis Dynamics. International Conference on Acoustics, Speech and Signal Processing 3: 573-576.
22. Kohavi R, Provost F, (1998) Glossary of Terms Machine Learning 30: 271-274.