Retinal status analysis method based on feature extraction and quantitative grading in OCT images

BioMedical Engineering Online

Volumn 15, Issue 1, 2016, Pages

  Fu, Dongmei ^a   Tong, Hejun ^a   Zheng, Shuang ^a   Luo, Ling ^b   Gao, Fulin ^b   Minar, Jiri ^c  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY BEIJING   (China)

^b 306 HOSPITAL OF PLA   (China)

^c BRNO UNIVERSITY OF TECHNOLOGY   (Czech Republic)

Author keywords

Feature quantification; Grade evaluation; Image processing; Morphological characterization; Retinal OCT images

Indexed keywords

BIOMEDICAL SIGNAL PROCESSING; COMPUTER AIDED ANALYSIS; DECISION MAKING; DIAGNOSIS; EXTRACTION; FEATURE EXTRACTION; GRADING; IMAGE ANALYSIS; IMAGE PROCESSING; OPHTHALMOLOGY; OPTICAL DATA PROCESSING; OPTICAL TOMOGRAPHY;

ANALYSIS AND EVALUATION; AUTOMATIC ANALYSIS METHOD; DECISION-MAKING METHOD; FEATURE QUANTIFICATION; MORPHOLOGICAL CHARACTERIZATION; MORPHOLOGICAL FEATURES; OCT IMAGES; THERAPEUTIC EFFECTS;

COMPUTER AIDED DIAGNOSIS;

ADULT; AGED; ARTICLE; DIAGNOSTIC PROCEDURE; DISEASE SEVERITY; DRUSEN; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; MACULAR EDEMA; MACULAR EPIRETINAL MEMBRANE; MAJOR CLINICAL STUDY; OPTICAL COHERENCE TOMOGRAPHY; OPTICAL COHERENCE TOMOGRAPHY DEVICE; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; RETINA; RETINA DISEASE; RETINA MACULA HOLE; RETINAL THICKNESS; SENSITIVITY AND SPECIFICITY; SIMULATION; VISUAL SYSTEM EXAMINATION; ADOLESCENT; COMPUTER ASSISTED DIAGNOSIS; DECISION MAKING; DIAGNOSTIC IMAGING; EYE FUNDUS; MIDDLE AGED; SIGNAL NOISE RATIO; YOUNG ADULT;

ADOLESCENT; ADULT; AGED; DECISION MAKING; DIAGNOSIS, COMPUTER-ASSISTED; FUNDUS OCULI; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MIDDLE AGED; RETINA; SIGNAL-TO-NOISE RATIO; TOMOGRAPHY, OPTICAL COHERENCE; YOUNG ADULT;

EID: 84979010836     PISSN: None     EISSN: 1475925X     Source Type: Journal    
DOI: 10.1186/s12938-016-0206-x     Document Type: Article

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