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Volumn , Issue , 2009, Pages 77-80

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

Author keywords

Data fusion; Histopathology; Knowledge representation; Mass spectrometry; Prognosis; Prostate cancer

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;

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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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.