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Proceedings Paper

Automated prostate cancer diagnosis and Gleason grading of tissue microarrays
Author(s): Ali Tabesh; Vinay P. Kumar; Ho-Yuen Pang; David Verbel; Angeliki Kotsianti; Mikhail Teverovskiy; Olivier Saidi
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Paper Abstract

We present the results on the development of an automated system for prostate cancer diagnosis and Gleason grading. Images of representative areas of the original Hematoxylin-and-Eosin (H&E)-stained tissue retrieved from each patient, either from a tissue microarray (TMA) core or whole section, were captured and analyzed. The image sets consisted of 367 and 268 color images for the diagnosis and Gleason grading problems, respectively. In diagnosis, the goal is to classify a tissue image into tumor versus non-tumor classes. In Gleason grading, which characterizes tumor aggressiveness, the objective is to classify a tissue image as being from either a low- or high-grade tumor. Several feature sets were computed from the image. The feature sets considered were: (i) color channel histograms, (ii) fractal dimension features, (iii) fractal code features, (iv) wavelet features, and (v) color, shape and texture features computed using Aureon Biosciences' MAGIC system. The linear and quadratic Gaussian classifiers together with a greedy search feature selection algorithm were used. For cancer diagnosis, a classification accuracy of 94.5% was obtained on an independent test set. For Gleason grading, the achieved accuracy of classification into low- and high-grade classes of an independent test set was 77.6%.

Paper Details

Date Published: 29 April 2005
PDF: 13 pages
Proc. SPIE 5747, Medical Imaging 2005: Image Processing, (29 April 2005); doi: 10.1117/12.597250
Show Author Affiliations
Ali Tabesh, Aureon Biosciences Corp. (United States)
The Univ. of Arizona (United States)
Vinay P. Kumar, Aureon Biosciences Corp. (United States)
Ho-Yuen Pang, Aureon Biosciences Corp. (United States)
David Verbel, Aureon Biosciences Corp. (United States)
Angeliki Kotsianti, Aureon Biosciences Corp. (United States)
Mikhail Teverovskiy, Aureon Biosciences Corp. (United States)
Olivier Saidi, Aureon Biosciences Corp. (United States)

Published in SPIE Proceedings Vol. 5747:
Medical Imaging 2005: Image Processing
J. Michael Fitzpatrick; Joseph M. Reinhardt, Editor(s)

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