Automated classification of renal cell carcinoma subtypes using scale invariant feature transform

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 6687-6690

  Hussain Raza, S ^a   Sharma, Yachna ^a   Chaudry, Qaiser ^a   Young, Andrew N ^b   Wang, May D ^c  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^b GRADY HEALTH SYSTEM   (United States)

^c Emory University   (United States)

Author keywords

Computer assisted diagnosis; Image classification; Renal cell carcinoma; Scale invariant features

Indexed keywords

AUTOMATED ANALYSIS; AUTOMATED CLASSIFICATION; BAYESIAN CLASSIFIER; CLASSIFICATION ACCURACY; COLOR SEGMENTATION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER-ASSISTED DIAGNOSTIC SYSTEMS; DIAGNOSTIC PROCESS; HETEROGENEOUS DATA; HUMAN INTERVENTION; MULTIPLE CLASS; RENAL CELL CARCINOMA; SCALE INVARIANT; SCALE INVARIANT FEATURE TRANSFORMS; SPEED-UPS; TISSUE BIOPSIES;

BIOLOGY; BIOPSY; IMAGE ANALYSIS;

IMAGE CLASSIFICATION;

ALGORITHM; ARTICLE; AUTOMATION; CLASSIFICATION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER INTERFACE; HUMAN; KIDNEY CARCINOMA; KIDNEY TUMOR; METHODOLOGY; PATHOLOGY;

ALGORITHMS; AUTOMATION; CARCINOMA, RENAL CELL; DIAGNOSIS, COMPUTER-ASSISTED; HUMANS; KIDNEY NEOPLASMS; USER-COMPUTER INTERFACE;

EID: 84903804432     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2009.5334009     Document Type: Conference Paper

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