Hyperspectral imaging and quantitative analysis for prostate cancer detection

Journal of Biomedical Optics

Volumn 17, Issue 7, 2012, Pages

  Akbari, Hamed ^a   Halig, Luma V ^a   Schuster, David M ^a   Osunkoya, Adeboye ^a,c   Master, Viraj ^a   Nieh, Peter T ^a   Chen, Georgia Z ^c   Fei, Baowei ^a,b,c  

^a EMORY UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b Emory University   (United States)

^c EMORY UNIVERSITY   (United States)

Author keywords

Hyperspectral imaging; Image classification; Least squares support vector machine; Optical diagnosis; Prostate cancer

Indexed keywords

ALGORITHM; ANIMAL; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; FLUORESCENCE IMAGING; IMAGE ENHANCEMENT; MALE; METHODOLOGY; MOUSE; NUDE MOUSE; PATHOLOGY; PROSTATE TUMOR; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SPECTROSCOPY; TUMOR CELL LINE;

ALGORITHMS; ANIMALS; ARTIFICIAL INTELLIGENCE; CELL LINE, TUMOR; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE; MICE; MICE, NUDE; OPTICAL IMAGING; PATTERN RECOGNITION, AUTOMATED; PROSTATIC NEOPLASMS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SPECTRUM ANALYSIS;

EID: 84867246184     PISSN: 10833668     EISSN: 15602281     Source Type: Journal    
DOI: 10.1117/1.JBO.17.7.076005     Document Type: Article

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