AN AUTOMATIC, INTERCAPILLARY AREA-BASED ALGORITHM FOR QUANTIFYING DIABETES-RELATED CAPILLARY DROPOUT USING OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY.

Schottenhamml, Julia; Moult, Eric M; Ploner, Stefan; Lee, ByungKun; Novais, Eduardo A; Cole, Emily; Dang, Sabin; Lu, Chen D; Husvogt, Lennart; Waheed, Nadia K; Duker, Jay S; Hornegger, Joachim; Fujimoto, James G

Schottenhamml, Julia; Moult, Eric M; Ploner, Stefan; Lee, ByungKun; Novais, Eduardo A; Cole, Emily; Dang, Sabin; Lu, Chen D; Husvogt, Lennart; Waheed, Nadia K; Duker, Jay S; Hornegger, Joachim; Fujimoto, James G.

Affiliation

Schottenhamml J; *Pattern Recognition Laboratory, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany; Research Laboratory of Electronics, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts; New England Eye Center, Tufts Medical Center, Boston, Massachusetts; and §Federal University of São Paulo, School of Medicine, São Paulo, Brazil.

Retina ; 36 Suppl 1: S93-S101, 2016 Dec.

Article in En | MEDLINE | ID: mdl-28005667

Subject(s)

Capillaries/diagnostic imaging; Diabetes Mellitus, Type 1/diagnostic imaging; Diabetes Mellitus, Type 2/diagnostic imaging; Diabetic Retinopathy/diagnostic imaging; Retinal Vessels/diagnostic imaging; Algorithms; Case-Control Studies; Humans; Retrospective Studies; Tomography, Optical Coherence/methods

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Retinal Vessels / Capillaries / Diabetes Mellitus, Type 1 / Diabetes Mellitus, Type 2 / Diabetic Retinopathy Type of study: Evaluation_studies / Observational_studies / Prognostic_studies Limits: Humans Language: En Journal: Retina Year: 2016 Type: Article Affiliation country: Brazil

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