Network cycle features: Application to computer-aided Gleason grading of prostate cancer histopathological images

Proceedings - International Symposium on Biomedical Imaging

Volumn , Issue , 2011, Pages 1632-1636

  Khurd, Parmeshwar ^a   Grady, Leo ^a   Kamen, Ali ^a   Gibbs Strauss, Summer ^b   Genega, Elizabeth M ^b   Frangioni, John V ^b  

^a SIEMENS CORPORATE RESEARCH   (United States)

^b BETH ISRAEL DEACONESS MEDICAL CENTER   (United States)

Author keywords

classification; Gleason grading; network features; prostate cancer

Indexed keywords

ALTERNATIVE NETWORK; AUTOMATED SYSTEMS; CELL LOCATION; CELL NETWORK; FRACTAL FEATURE; GLEASON GRADING; HISTOLOGICAL IMAGES; HISTOPATHOLOGICAL IMAGES; PROBLEM-BASED; PROSTATE CANCERS; PROSTATE TUMOR; SVM(SUPPORT VECTOR MACHINE); TEXTURE FEATURES;

AUTOMATION; COMPUTER AIDED NETWORK ANALYSIS; COMPUTER APPLICATIONS; IMAGE PROCESSING; MACROS; MEDICAL IMAGING;

DISEASES;

EID: 80055055231     PISSN: 19457928     EISSN: 19458452     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2011.5872716     Document Type: Conference Paper

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