An anomaly detection approach for the identification of DME patients using spectral domain optical coherence tomography images

Computer Methods and Programs in Biomedicine

Volumn 139, Issue , 2017, Pages 109-117

  Sidibé, Désiré ^a   Sankar, Shrinivasan ^a   Lemaître, Guillaume ^a   Rastgoo, Mojdeh ^a   Massich, Joan ^a   Cheung, Carol Y ^b,c   Tan, Gavin S W ^b   Milea, Dan ^b   Lamoureux, Ecosse ^b   Wong, Tien Y ^b   Mériaudeau, Fabrice ^a,d  

^a UNIVERSITÉ BOURGOGNE FRANCHE COMTÉ   (France)

^b SINGAPORE NATIONAL EYE CENTRE   (Singapore)

^c CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^d DEPARTMENT OF CHEMICAL ENGINEERING   (Malaysia)

Author keywords

Anomaly detection; Classification; Diabetic macular edema; Diabetic retinopathy; SD OCT

Indexed keywords

CLASSIFICATION (OF INFORMATION); COHERENT LIGHT; EYE PROTECTION; GAUSSIAN DISTRIBUTION; SIGNAL DETECTION; STATISTICS; STRAIN MEASUREMENT;

ANOMALY DETECTION; AUTOMATIC CLASSIFICATION; CLASSIFICATION PERFORMANCE; DIABETIC RETINOPATHY; GAUSSIAN MIXTURE MODEL; MACULAR EDEMA; SD-OCT; SPECTRAL DOMAIN OPTICAL COHERENCE TOMOGRAPHIES;

OPTICAL TOMOGRAPHY;

ARTICLE; B SCAN; CLASSIFICATION ALGORITHM; CLINICAL ARTICLE; CONTROLLED STUDY; DIABETIC MACULAR EDEMA; DIAGNOSTIC TEST ACCURACY STUDY; GAUSSIAN MIXTURE MODEL; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; OPTICAL COHERENCE TOMOGRAPHY DEVICE; PRINCIPAL COMPONENT ANALYSIS; SENSITIVITY AND SPECIFICITY; SPECTRAL DOMAIN OPTICAL COHERENCE TOMOGRAPHY; STATISTICAL MODEL; VOLUME; COMPLICATION; DIABETES MELLITUS; DIAGNOSTIC IMAGING; FEMALE; MACULAR EDEMA; MALE; OPTICAL COHERENCE TOMOGRAPHY;

DIABETES COMPLICATIONS; FEMALE; HUMANS; MACULAR EDEMA; MALE; TOMOGRAPHY, OPTICAL COHERENCE;

EID: 84995655027     PISSN: 01692607     EISSN: 18727565     Source Type: Journal    
DOI: 10.1016/j.cmpb.2016.11.001     Document Type: Article

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