Improving prediction of prostate cancer recurrence using chemical imaging

Scientific Reports

Volumn 5, Issue , 2015, Pages

  Kwak, Jin Tae ^a,b,c   Kajdacsy Balla, André ^d   Macias, Virgilia ^d   Walsh, Michael ^c,d   Sinha, Saurabh ^b   Bhargava, Rohit ^c,e  

^a NATIONAL INSTITUTES OF HEALTH   (United States)

^b Department of Computer Science University of Illinois at Urbana Champaign ^*  (United States)

^c UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^d UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

^e University of Illinois at Urbana Champaign   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AGED; ALGORITHM; CANCER GRADING; CANCER STAGING; HUMAN; INFRARED SPECTROSCOPY; MALE; MIDDLE AGED; OUTCOME ASSESSMENT; PATHOLOGY; PROCEDURES; PROGNOSIS; PROSTATE; PROSTATIC NEOPLASMS; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICS AND NUMERICAL DATA; SUPPORT VECTOR MACHINE; THEORETICAL MODEL; TUMOR RECURRENCE;

AGED; ALGORITHMS; HUMANS; MALE; MIDDLE AGED; MODELS, THEORETICAL; NEOPLASM GRADING; NEOPLASM RECURRENCE, LOCAL; NEOPLASM STAGING; OUTCOME ASSESSMENT (HEALTH CARE); PROGNOSIS; PROSTATE; PROSTATIC NEOPLASMS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SPECTROSCOPY, FOURIER TRANSFORM INFRARED; SUPPORT VECTOR MACHINE;

EID: 84930005895     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep08758     Document Type: Article

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