Prostate cancer grading: Gland segmentation and structural features

Pattern Recognition Letters

Volumn 33, Issue 7, 2012, Pages 951-961

  Nguyen, Kien ^a   Sabata, Bikash ^b   Jain, Anil K ^a,c  

^a MICHIGAN STATE UNIVERSITY   (United States)

^b Ventana Medical Systems Inc   (United States)

^c Korea University   (South Korea)

Author keywords

Benign; Carcinoma; Gland segmentation; Gleason grading system; Nuclei; Prostate cancer

Indexed keywords

BENIGN; CARCINOMA; GLEASON GRADING; NUCLEI; PROSTATE CANCERS;

COLOR IMAGE PROCESSING; DISEASES; SPECIFICATIONS; UROLOGY;

TISSUE;

EID: 84858439207     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2011.10.001     Document Type: Conference Paper

References (22)

1. W. Catalona, D. Smith, and T. Ratliff Measurement of prostate-specific antigen in serum as a screening test for prostate cancer New Engl. J. Med. 324 17 1991 1156 1161
2. T.F. Cootes, C.J. Taylor, D.H. Cooper, and J. Graham Active shape models-their training and application Comput. Vision Image Understand. 61 1 1995 38 59
3. T. Cootes, G. Edwards, and C. Taylor Active appearance models IEEE Transactions on Pattern Anal. Machine Intell. 23 2001 681 685 (Pubitemid 32585279)
4. J. Diamond, N. Anderson, P. Bartels, R. Montironi, and P. Hamilton The use of morphological characteristics and texture analysis in the identification of tissue composition in prostatic neoplasia Hum. Pathol. 35 2004 1121 1131 (Pubitemid 39165345)
5. S. Doyle, A. Madabhushi, M. Feldman, and J. Tomaszeweski A boosting cascade for automated detection of prostate cancer from digitized histology MICCAI 2006 504 511 (Pubitemid 44609258)
6. H.S. Fairman, M.H. Brill, and H. Hemmendinger How the CIE 1931 color-matching functions were derived from Wright-Guild data Color Res. Appl. 22 1997 11 23 (Pubitemid 127672188)
7. A. Franz Voronoi diagrams - A survey of a fundamental geometric data structure ACM Comput. Surv. 23 3 1991 345 405
8. D. Gleason Histologic grading and clinical staging of prostatic carcinoma M. Tannenbaum, Urologic Pathology: The Prostate 1977 Lea and Febiger Philadelphia, PA 171 198
9. D. Gleason Histologic grading of prostate cancer: A perspective Hum. Pathol. 23 1992 273 279
10. Hall, M.; Frank, E.; Holmes, G.; Pfahringer, B.; Reutemann, P.; Witten, I.; 2009. The Weka data mining software: An update, SIGKDD Explorations, issue 1.
11. R. Haralick, K. Shanmugam, and I. Dinstein Textural features for image classification IEEE Trans. Systems Man Cybernet. SMC 3 1973 610 621
12. A. Jain Fundamentals of Digital Image Processing 1989 Prentice Hall
13. K.J. Khouzani, and H.S. Zadeh Multiwavelet grading of pathological images of prostate IEEE Trans. Biomed. Eng. 50 6 2003 697 704
14. J.A. Kiernan Histological and Histochemical Methods: Theory and Practice 2001 A Hodder Arnold Publication
15. C. Li, C. Xu, C. Gui, and M.D. Fox Level set evolution without re-initialization: A new variational formulation IEEE Internat. Conf. on Computer Vision and Pattern Recognition (CVPR) 1 2005 430 436
16. M. Mason Cytology of the prostate J. Clin. Path. 1964 581 590
17. Naik, S.; Doyle, S.; Madabhushi, A.; Tomaszewski, J.; Feldman, M.; 2008. Automated nuclear and gland segmentation and gleason grading of prostate histology by integrating low-, high-level and domain specific information. In: Special Workshop on Computational Histopathology (CHIP), in conjunction with 5th IEEE Internat. Symp. on Biomedical Imaging (Invited Paper), pp. 284-287.
18. A. Tabesh, M. Teverovskiy, and H. Pang Multifeature prostate cancer diagnosis and gleason grading of histological images IEEE Trans. Med. Imaging 26 10 2007 1366 1378 (Pubitemid 47525298)
19. Tai, S.K.; Li, C.Y.; Wu, Y.C.; Jan, Y.J.; Lin, S.C.; August 2010. Classification of prostatic biopsy. Digital Content, Multimedia Technology and its Applications (IDC). In: 2010 6th Internat. Conf. on, pp. 354 -358.
20. M. Teverovskiy, V. Kumar, J. Ma, A. Kotsianti, D. Verbel, A. Tabesh, H. Pang, Y. Vengrenyuk, S. Fogarasi, and O. Saidi Improved prediction of prostate cancer recurrence based on an automated tissue image analysis system Proc. IEEE Internat. Symp. Biomed. Imag. 2004 257 260 (Pubitemid 40513924)
21. US Cancer Statistics Working Group, 2010. United states cancer statistics: 1999-2006 incidence and mortality web-based report. Atlanta (GA): Department of Health and Human Services, Centers for Disease Control and Prevention, and National Cancer Institute. .
22. Wikipedia contributors, 2010. Lab color space. .