A textural feature based tumor therapy response prediction model for longitudinal evaluation with PET imaging

Proceedings - International Symposium on Biomedical Imaging

Volumn , Issue , 2012, Pages 1048-1051

  George, J ^a,c,d   Claes, P ^a,c,d   Vunckx, K ^b,d   Tejpar, S ^c   Deroose, C M ^b   Nuyts, J ^b,d   Loeckx, D ^a,d   Suetens, P ^a,c,d  

^a MIC ^*  (Belgium)

^b Nuclear Medicine   (Belgium)

^c UNIVERSITY OF LEUVEN   (Belgium)

^d UNIVERSITY HOSPITALS LEUVEN   (Belgium)

Author keywords

concordance measure; Grassmann manifold; parallel analysis; PET; principal angles; subspace learning; survival analysis; textural features; time dependent ROC; tumor delineation

Indexed keywords

CONCORDANCE MEASURE; GRASSMANN MANIFOLD; PARALLEL ANALYSIS; PRINCIPAL ANGLES; SUBSPACE LEARNING; SURVIVAL ANALYSIS; TEXTURAL FEATURE; TIME DEPENDENT; TUMOR DELINEATION;

MEDICAL IMAGING; POLYETHYLENE TEREPHTHALATES; POSITRON EMISSION TOMOGRAPHY; TEXTURES;

TUMORS;

EID: 84864832580     PISSN: 19457928     EISSN: 19458452     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2012.6235738     Document Type: Conference Paper

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