A color-based approach for automated segmentation in tumor tissue classification

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

Volumn , Issue , 2007, Pages 6576-6579

  Wang, Yi Ying ^a   Chang, Shao Chien ^a   Wu, Li Wha ^b   Tsai, Sen Tien ^c   Sun, Yung Nien ^a  

^a Department of Computer Science and Information Engineering ^*  (Taiwan)

^b NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

^c NATIONAL CHENG KUNG UNIVERSITY HOSPITAL   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATED SEGMENTATION; MICROSCOPIC IMAGES; ORAL CANCER IMAGES;

COLOR; IMAGE ANALYSIS; IMAGE QUALITY; MICROSCOPIC EXAMINATION; PRINCIPAL COMPONENT ANALYSIS; TUMORS;

IMAGE SEGMENTATION;

EID: 57649193069     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2007.4353866     Document Type: Conference Paper

References (14)

1. Department of Health, the Executive Yuan, R.O.C, Cancer Registry Annual Report, Republic of China. 1996.
2. J. Folkman, 'What is the evidence that tumors are angiogenesis dependent?' JNCI, 82(1), 1990, pp. 4-7.
3. K. Axelsson and Britt-Marie E. Ljung et al, 'Tumor angiogenesis as a prognostic assay for invasive ductal breast-carcinoma,' JNCI, 87(13), 1995, pp. 997-1008.
4. A.W. Khan and A.P. Dhillon et al., 'Prognostic significance of intratumoural microvessel density (IMD) in resected pancreatic and ampullary cancers to standard histopathological variables and survival,' Eur J Surg Oncol, 2002, pp. 637-644.
5. W. Jung and J. Zhang, et al., 'Advances in oral cancer detection using optical coherence tomography,' IEEE Journal of Selected Topics in Quantum Electronics, 11(4), 2005, pp. 811-817.
6. C. F. Jiang, C. Y. Wang, and C. P. Chiang, Oral cancer detection in fluorescent image by color image fusion. 26th Annual International Conference of the IEEE EMBS, 2, 2004, pp. 1260-1262.
7. R. Rodriguez, T. E. Alarcon and O. Pacheco, 'A new strategy to obtain robust markers for blood vessels segmentation by using the watersheds method,' Journal of Computers in Biology and Medicine, 35(8), 2005, pp. 665-686.
8. R. Rodriguez, 'A strategy for blood vessels segmentation based on the threshold which combines statistical and scale space filter application to the study of angiogenesis,' Computer Methods and Programs in Biomedicine, 82(1), 2006, pp. 1-9.
9. C. G. Loukas and G. D. Wilson et al., 'An image analysis-based approach for automated counting of cancer cell nuclei in tissue sections,' Cytometry Part A, 55(1), 2003, pp. 30-42.
10. C. G. Loukas and A. Linney, 'On a relaxation-labelling algorithm for quantitative assessment of tumour vasculature in tissue section images,' Computers in Biology and Medicine, 35(2), 2005, pp. 157-171.
11. E. Reinhard and M. Ashikhmin et al., 'Color transfer between images,' IEEE Computer Graphics and Applications, 21(5), 2001, pp. 34-41.
12. Y.N. Sun and M.H. Horng, 'Assessing liver tissue fibrosis with an automatic computer morphometry system,' IEEE Engineering in Medicine and Biology, 16(3), 1997, pp. 66-73.
13. S. Cui and H. Hano, 'Enhanced CD34 expression of sinusoid-like vascular endothelial cells in hepatocellular carcinoma,' Pathology International, 46, 1996, pp. 751-756.
14. Digital Image Processing, 2nd Edition by Gonzalez and Woods, 2002.