Co-occurring gland tensors in localized cluster graphs: Quantitative histomorphometry for predicting biochemical recurrence for intermediate grade prostate cancer

Proceedings - International Symposium on Biomedical Imaging

Volumn , Issue , 2013, Pages 113-116

  Lee, George ^a   Sparks, Rachel ^a   Ali, Sahirzeeshan ^b   Madabhushi, Anant ^b   Feldman, Michael D ^c   Master, Stephen R ^c   Shih, Natalie ^c   Tomaszewski, John E ^d  

^a RUTGERS UNIVERSITY   (United States)

^b Case Western Reserve University   (United States)

^c UNIVERSITY OF PENNSYLVANIA   (United States)

^d UNIVERSITY AT BUFFALO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CO-OCCURRENCE-MATRIX; COMPUTATIONAL TOOLS; HISTOMORPHOMETRY; PROSTATE CANCERS; RADICAL PROSTATECTOMY; RANDOM FOREST CLASSIFIER; SPATIAL INTERACTION; STATISTICAL FEATURES;

DECISION TREES; DISEASES; HISTOLOGY; MEDICAL IMAGING; TENSORS;

COBALT COMPOUNDS;

EID: 84881644151     PISSN: 19457928     EISSN: 19458452     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2013.6556425     Document Type: Conference Paper

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