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Volumn 178, Issue , 2012, Pages 250-256
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The impact of OCR accuracy on automated cancer classification of pathology reports
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Author keywords
Automatic data processing; Disease classification; Natural language processing; Optical character recognition (OCR)
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Indexed keywords
DATA HANDLING;
DISEASES;
ERRORS;
EXTRACTION;
HYBRID INTEGRATED CIRCUITS;
NATURAL LANGUAGE PROCESSING SYSTEMS;
OPTICAL CHARACTER RECOGNITION;
PATHOLOGY;
AUTOMATIC CLASSIFICATION;
AUTOMATIC DATA PROCESSING;
CANCER CLASSIFICATION;
DISEASE CLASSIFICATION;
HISTOLOGICAL TYPE;
OPTICAL CHARACTER RECOGNITION (OCR);
STATE OF THE ART;
TEXT EXTRACTION;
TEXT PROCESSING;
ARTICLE;
AUTOMATION;
CLASSIFICATION;
HUMAN;
MEDICAL RECORD;
NATURAL LANGUAGE PROCESSING;
NEOPLASM;
PATHOLOGY;
RECORDING;
STANDARD;
AUTOMATION;
COPYING PROCESSES;
HUMANS;
MEDICAL RECORDS;
NATURAL LANGUAGE PROCESSING;
NEOPLASMS;
PATHOLOGY;
PATHOLOGY, CLINICAL;
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EID: 84868294224
PISSN: 09269630
EISSN: 18798365
Source Type: Book Series
DOI: 10.3233/978-1-61499-078-9-250 Document Type: Conference Paper |
Times cited : (14)
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References (6)
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