Improving probabilistic interpretation of medical diagnoses with multi-resolution image parameterization: A case study

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5651 LNAI, Issue , 2009, Pages 136-145

  Kukar, Matjaž ^a   Šajn, Luka ^a  

^a UNIVERSITY OF LJUBLJANA   (Slovenia)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC CLASSIFIERS; CORONARY ARTERY DISEASE; DIAGNOSTIC PROCEDURE; DIAGNOSTIC PROCESS; DIAGNOSTIC TESTS; EARLY DIAGNOSIS; GOLD STANDARDS; IMAGE PARAMETERS; MACHINE LEARNING METHODS; MEDICAL DIAGNOSIS; MULTIPLE RESOLUTIONS; MULTIRESOLUTION IMAGES; PRINCIPLE COMPONENT ANALYSIS; PROBABILISTIC INTERPRETATION; REFERENCE METHOD; SCINTIGRAPHIC IMAGES; SENSITIVITY AND SPECIFICITY; TEXTURE DESCRIPTION;

ARTIFICIAL INTELLIGENCE; ASSOCIATIVE PROCESSING; IMAGE PROCESSING; LEARNING SYSTEMS; PROBABILITY; RESEARCH; TESTING;

DIAGNOSIS;

EID: 70350236906     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02976-9_18     Document Type: Conference Paper

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