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Volumn , Issue , 2009, Pages 77-80
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A knowledge representation framework for integration, classification of multi-scale imaging and non-imaging data: Preliminary results in predicting prostate cancer recurrence by fusing mass spectrometry and histology
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Author keywords
Data fusion; Histopathology; Knowledge representation; Mass spectrometry; Prognosis; Prostate cancer
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Indexed keywords
BIOMEDICAL IMAGES;
DATA LEVEL;
DATA STREAM;
DECISION LEVELS;
DIAGNOSTIC TOOLS;
DIMENSIONALITY REDUCTION;
HISTOLOGICAL IMAGES;
HISTOPATHOLOGY;
IMAGE DATA STRUCTURE;
IMAGE INFORMATION;
MULTI-MODAL;
MULTISCALES;
NON-IMAGING;
PATIENT PROGNOSIS;
PERSONALIZED HEALTHCARE;
PROGNOSIS;
PROOF OF CONCEPT;
PROSTATE CANCER;
PROSTATE CANCER RECURRENCE;
PROSTATE CANCERS;
PROTEIN EXPRESSIONS;
PROTEOMICS;
BIOLOGICAL RADIATION EFFECTS;
DATA FUSION;
DATA STRUCTURES;
DIAGNOSIS;
HEALTH CARE;
HISTOLOGY;
INFORMATION FUSION;
MASS SPECTROMETERS;
MASS SPECTROMETRY;
MOLECULAR BIOLOGY;
KNOWLEDGE REPRESENTATION;
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EID: 70449434839
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: 10.1109/ISBI.2009.5192987 Document Type: Conference Paper |
Times cited : (31)
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References (9)
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