Multifeature prostate cancer diagnosis and gleason grading of histological images

IEEE Transactions on Medical Imaging

Volumn 26, Issue 10, 2007, Pages 1366-1378

  Tabesh, Ali ^a,b   Teverovskiy, Mikhail ^b   Pang, Ho Yuen ^b   Kumar, Vinay P ^b,c   Verbel, David ^b,d   Kotsianti, Angeliki ^b,e   Saidi, Olivier ^b  

^a IEEE

^b Aureon Laboratories Inc   (United States)

^c Manipal Dot Net Pvt Ltd   (India)

^d Penwest Pharmaceuticals Co   (United States)

^e PFIZER INC   (United States)

Author keywords

Computer aided diagnosis; Gleason grading; Prostate cancer; Statistical pattern recognition

Indexed keywords

IMAGE ANALYSIS; MEDICAL IMAGING; SUPPORT VECTOR MACHINES; TISSUE ENGINEERING; TUMORS;

GLEASON GRADING; PROSTATE CANCER; STATISTICAL PATTERN RECOGNITION; TISSUE MICROARRAYS;

ONCOLOGY;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CLASSIFICATION; COLOR; COLORIMETRY; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; HUMAN; IMAGE ENHANCEMENT; MALE; METHODOLOGY; PATHOLOGY; PROSTATE TUMOR; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COLOR; COLORIMETRY; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE; PATTERN RECOGNITION, AUTOMATED; PROSTATIC NEOPLASMS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 34948819236     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2007.898536     Document Type: Article

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