Morphological classification of odontogenic keratocysts using Bouligand–Minkowski fractal descriptors

Computers in Biology and Medicine

Volumn 81, Issue , 2017, Pages 1-10

  Florindo, Joao B ^a,b   Bruno, Odemir M ^a   Landini, Gabriel ^c  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

^b UNIVERSITY OF CAMPINAS   (Brazil)

^c UNIVERSITY OF BIRMINGHAM   (United Kingdom)

Author keywords

Computer aided detection and diagnosis; Microscopy; Odontogenic cyst; Pattern recognition and classification

Indexed keywords

CLASSIFICATION (OF INFORMATION); DIAGNOSIS; LEARNING ALGORITHMS; LEARNING SYSTEMS; MICROSCOPIC EXAMINATION; PATTERN RECOGNITION;

CLASSIFICATION RATES; COMPUTATIONAL ALGORITHM; COMPUTER-AIDED DETECTION AND DIAGNOSIS; HISTOPATHOLOGICAL IMAGES; MORPHOLOGICAL CLASSIFICATIONS; MORPHOLOGICAL DILATION; ODONTOGENIC; PATTERN RECOGNITION AND CLASSIFICATION;

COMPUTER AIDED DIAGNOSIS;

ARTICLE; BOULIGAND MINKOWSKI DESCRIPTOR; CLINICAL ARTICLE; CLINICAL ASSESSMENT; CLINICAL FEATURE; DIAGNOSIS RELATED GROUP; EPITHELIUM; FRACTAL ANALYSIS; HISTOPATHOLOGY; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; MACHINE LEARNING; MICROSCOPE IMAGE; ODONTOGENIC CYST; ODONTOGENIC KERATOCYST; PRIORITY JOURNAL; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; EVALUATION STUDY; MICROSCOPY; PATHOLOGY; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

FRACTALS; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MACHINE LEARNING; MICROSCOPY; ODONTOGENIC CYSTS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 85006371389     PISSN: 00104825     EISSN: 18790534     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2016.12.003     Document Type: Article

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