An image analysis approach for automatic malignancy determination of prostate pathological images

Cytometry Part B - Clinical Cytometry

Volumn 72, Issue 4, 2007, Pages 227-240

  Farjam, Reza ^a   Soltanian Zadeh, Hamid ^a,b   Jafari Khouzani, Kourosh ^b,c   Zoroofi, Reza A ^a  

^a UNIVERSITY OF TEHRAN   (Iran)

^b HENRY FORD HEALTH SYSTEM   (United States)

^c Wayne State University   (United States)

Author keywords

Linear classifier; Malignancy of prostate pathological samples; Texture analysis

Indexed keywords

ARTICLE; CANCER DIAGNOSIS; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC ACCURACY; DIAGNOSTIC IMAGING; DIAGNOSTIC VALUE; DISEASE CLASSIFICATION; EVALUATION; HUMAN; ILLUMINATION; IMAGE ANALYSIS; MAGNIFICATION RADIOGRAPHY; OBSERVER BIAS; ORGAN SIZE; PATHOLOGIST; PRIORITY JOURNAL; PROSTATE BIOPSY; PROSTATE CANCER; TECHNIQUE; TREATMENT PLANNING;

ALGORITHMS; CARCINOMA; CELL NUCLEUS; CELL SHAPE; DIAGNOSTIC ERRORS; EARLY DIAGNOSIS; EPITHELIAL CELLS; HUMANS; IMAGE CYTOMETRY; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LINEAR MODELS; MALE; OBSERVER VARIATION; PREDICTIVE VALUE OF TESTS; PROSTATE; PROSTATIC NEOPLASMS; SOFTWARE; SOFTWARE VALIDATION; STROMAL CELLS;

EID: 34250856799     PISSN: 15524949     EISSN: 15524957     Source Type: Journal    
DOI: 10.1002/cyto.b.20162     Document Type: Article

References (23)

1. Kumar V, Cotran RS, Robbins SL. Basic Pathology. Philadelphia, PA: Saunders; 1997.
2. Bohring C, Squires T. Cancer statistics. CA Cancer J Clin 1993;43:7-26.
3. Mettlinm C, Jones G, Murphy G. Trends in prostate care in the United States, 1974-1990: Observations from the patient care Evaluation Studies of the American College of Surgeons Commission on cancer. CA Cancer J Clin 1993;43:83-91.
4. Coley CM, Barry MJ, Fleming C, Mulley AG. Clinical guideline: Part 1: Early detection of prostate cancer: Part I: Prior probability and effectiveness of tests. Ann Intern Med 1997;126:394-406.
5. Kramer BS, Brown ML, Prorok PC, Potosky AL, Gohagan JK. Prostate cancer screening: What we know and what we need to know. Ann Intern Med 1993;119:914-923.
6. Cornud F, Belin X, Flam T, Chretien Y, Deslignieres S, Paraf F, Casanova JM, Thiounn N, Helenon O, Debre B, Moreau JF. Local staging of prostate cancer by endorectal MRI using fast spin-echo sequences: Prospective correlation with pathological findings after radical prostatectomy. Br J Urol 1996;77:843-850.
7. Huncharek M, Muscat J. Serum prostate-specific antigen as a predictor of staging abdominal/pelvic computed tomography in newly diagnosed prostate cancer. Abdomen Imaging 1996;21:364-367.
8. Zhou Z-H, Jiang Y, Yang Y-B, Chen Sh-F. Lung cancer identification based on artificial neural network ensembles. Artif Intell Med 2002;24:25-36.
9. Loukas CG, Wilson GD, Vojnovic B, Linney A. An image analysis-based approach for automated counting of cancer cell nuclei in tissue sections. Cytometry A 2003;55A:30-42.
10. Simon I, Pound CR, Partin AW, Clemens JQ, William A. Automated image analysis system for detecting boundaries of live prostate cancer cells. Cytometry 1998;31:287-294.
11. Tasoulis DK, Spyridonos P, Pavlidis NG, Cavouras D, Ravazoula P, Nikiforidis G, Vrahatis MN. Urinary bladder tumor grade diagnosis using on-line trained neural networks. In: Palade V, Howlett RJ, Jain LC, editors. KES, Lecture Note in Artificial Intelligence, Vol. 2773. Berlin: Springer; 2003. pp 199-206.
12. Stotzka R, Manner R, Battels PH, Thompson D. A hybrid neural and statistical classifier system for histological grading of prostate lesions. Anal Quant Cytol Histol 1995;17:204-218.
13. Clark MTD, Askin FB, Bagnell CR. Nuclear roundness factor: A quantitative approach to grading in prostate carcinoma, reliability of needle biopsy tissue, and the effect of tumor stage on usefulness. Prostate 1987;10:199-206.
14. Yogesan K, Jørgensen T, Albregtsen F, Tveter KJ, Danielsen HE. Entropy-based texture analysis of chromatin structure in advanced prostate cancer. Cytometry 1998;24:268-276.
15. Jafari-Khouzani K, Soltanian-Zadeh H. Multi-wavelet grading of pathological images of prostate. IEEE Trans Biomed Eng 2003;50:697-704.
16. Rosai J, Ackerman LV. Ackerman's Surgical Pathology. St. Louis, MO: Mosby; 1996.
17. Garnick MB. Prostate cancer: Screening, diagnosis, and management. Ann Intern Med 1993;118:804-818.
18. Vaughn DJ. Hormone therapy for advanced prostate cancer. Ann Intern Med 2000;132:584-585.
19. Pratt WK. Digital Image Processing, 3rd ed. New York: Wiley; 2001.
20. Charalampidis D, Kasparis T. Wavelet-based rotational invariant roughness features for texture classification and segmentation. IEEE Trans Image Process 2002;11:825-837.
21. Chen CH, Pau LF, Wang PSP. The Handbook of Pattern Recognition and Computer Vision, 2nd ed. Singapore: World Scientific Publishing; 1998.
22. http://www.pathology.ks.se.
23. http://www.prostate-help.org.