Computer computer-aided renal cancer quantification and classification from contrast contrast-enhanced CT via histograms of curvature curvature-related features elated

Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009

Volumn , Issue , 2009, Pages 6679-6682

  Linguraru, Marius George ^a   Wang, Shijun Wang ^a   Shah, Furhawn ^b   Gautam, Rabindra ^c   Peterson, James ^c   Marston, W ^d   Linehan, Li ^c   Summers, Ronald M ^a  

^a NATIONAL INSTITUTES OF HEALTH   (United States)

^b UNIVERSITY OF ROCHESTER SCHOOL OF MEDICINE AND DENTISTRY   (United States)

^c NATIONAL CANCER INSTITUTE   (United States)

^d NONE

Author keywords

[No Author keywords available]

Indexed keywords

CANCER DIAGNOSIS; CLINICAL DATA; CLINICAL PRACTICES; CLINICAL TOOLS; COMPUTER ASSISTED; CONTRAST-ENHANCED CT; HIGH VARIABILITY; LEVEL SET; RANDOM SAMPLING; REFINEMENT STEP; RENAL TUMORS;

BIOLOGY; COMPUTER AIDED ANALYSIS; COMPUTERIZED TOMOGRAPHY; GRAPHIC METHODS; IMAGE ANALYSIS; STATISTICAL METHODS;

TUMORS;

CONTRAST MEDIUM;

ARTICLE; CLASSIFICATION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; HUMAN; IMAGE QUALITY; KIDNEY TUMOR; METHODOLOGY; PATHOLOGY; RECEIVER OPERATING CHARACTERISTIC;

CONTRAST MEDIA; HUMANS; KIDNEY NEOPLASMS; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; ROC CURVE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84903865665     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2009.5334012     Document Type: Conference Paper

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