Automated grading of prostate cancer using architectural and textural image features

2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings

Volumn , Issue , 2007, Pages 1284-1287

  Doyle, Scott ^a   Hwang, Mark ^a   Shah, Kinsuk ^a   Madabhushi, Anant ^a   Feldman, Michael ^b   Tomaszeweski, John ^b  

^a RUTGERS UNIVERSITY   (United States)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOPSY; FEATURE EXTRACTION; IMAGE ANALYSIS; MEDICAL IMAGING; SUPPORT VECTOR MACHINES; TISSUE;

AUTOMATED GRADING; GLEASON SYSTEM; TEXTURAL FEATURES;

ONCOLOGY;

EID: 36348964155     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2007.357094     Document Type: Conference Paper

References (12)

1. R. Montironi, R. Mazzuccheli, et al., "Gleason grading of prostate cancer in needle biopsies or radical prostatectomy specimens: contemporary approach, current clinical significance and sources of pathology diserepencies," BJU Int., vol. 95, no. 8, pp. 1146-1152, 2005.
2. W. Allsbrook, K.A. Mangold, et al., "Interobserver reproducibility of gleason grading of prostatic carcinoma: General pathologist," Hum. Path., vol. 32, no. 1, pp. 81-88, 2001.
3. C.R. King, "Patterns of prostate cancer biopsy grading: Trends and clinical implications," Int. J. Cancer (Radiat. Oncol. Invest), vol. 90, pp. 305-311, 2000.
4. J.I. Epstein, W.C. Allsbrook, et al., "The 2005 international society of urological pathology (isup) consensus conference on gleason grading of prostatic carcinoma," Am. J. of Surg. Path., vol. 29, no. 9, pp. 1228-1242, 2005.
5. A.N. Esgiar, R.N.G. Naguib, et al., "Microscopic image analysis for quantitative measurement and feature identification of normal and cancerous colonic mucosa," IEEE Trans. on Info. Tech. in Biomed., vol. 2, no. 3, pp. 197-203, 1998.
6. S. Doyle, A. Madabhushi, et al., "A boosting cascade for automated detection of prostate cancer from digitized histology," MICCAI, vol. 4191, pp. 504-511, 2006.
7. Y. Freund and R. Schapire, "Experiments with a new boosting algorithm," Proc. of the Natural Conf. on Mach. Learn., pp. 148-156, 1996.
8. G.T. Toussaint, "The relative neighbourhood graph of a finite planar set," Patt. Recog., vol. 12, pp. 261-268, 1980.
9. J. Sudbø, R. Marcelpoil, et al., "New algorithms based on the voronoi diagram applied in a pilot study on normal mucosa and carcinomas," Anal. Cell. Path., vol. 21, no. 2, pp. 71-87, 2000.
10. R.M. Haralick, I. Dinstein, et al., "Textural features for image classification," IEEE Trans. on Sys., Man, and Cyber, vol. SMC-3, no. 6, pp. 610-621, 1973.
11. K. Jafari-Khouzani and H. Soltanian-Zadeh, "Multiwavelet grading of pathological images of prostate," IEEE Trans. on Biomed. Eng., vol. 50, no. 6, pp. 697-04, 2003.
12. S.T. Roweis and L.K. Saul, "Nonlinear dimensionality reduction by locally linear embedding," Science, vol. 290, no. 22, pp. 2323-2326, 2000.