Automated prostate cancer diagnosis and gleason grading of tissue microarrays

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 5747, Issue I, 2005, Pages 58-70

  Tabesh, Ali ^a,b   Kumar, Vinay P ^a   Pang, Ho Yuen ^a   Verbal, David ^a   Kotsianti, Angeliki ^a   Teverovskiy, Mikhail ^a   Saidi, Olivier ^a  

^a Aureon Biosciences Corporation   (United States)

^b UNIVERSITY OF ARIZONA   (United States)

Author keywords

Automated cancer diagnosis; Automated Gleason grading; Feature selection; Fractal codes; Fractal dimension; Prostate cancer; Statistical classification; Tissue image processing; Tissue image segmentation; Wavelets

Indexed keywords

AUTOMATED CANCER DIAGNOSIS; AUTOMATED GLEASON GRADING; FEATURE SELECTION; FRACTAL CODES; FRACTAL DIMENSION; PROSTATE CANCER; STATISTICAL CLASSIFICATION; TISSUE IMAGE PROCESSING; TISSUE IMAGE SEGMENTATION;

ALGORITHMS; DIAGNOSIS; FRACTALS; IMAGE ANALYSIS; PROBLEM SOLVING; TISSUE; WAVELET TRANSFORMS;

TUMORS;

EID: 23844447061     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.597250     Document Type: Conference Paper

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