An Automated Grading and Diagnosis System for Evaluation of Dry Eye Syndrome.

Bagbaba, Ayse; Sen, Baha; Delen, Dursun; Uysal, Betül Seher

Bagbaba, Ayse; Sen, Baha; Delen, Dursun; Uysal, Betül Seher.

Affiliation

Bagbaba A; Computer Engineering Department, Ankara Yildirim Beyazit University, Ulus, Ankara, Turkey. aysearslan2491@gmail.com.
Sen B; Computer Engineering Department, Ankara Yildirim Beyazit University, Ulus, Ankara, Turkey.
Delen D; Center for Health Systems Innovation, Spears School of Business, Department of Management Science and Information Systems, Oklahoma State University, Tulsa, Oklahoma, 74106, USA.
Uysal BS; Atatürk Education and Research Hospital, Çankaya, Ankara, Turkey.

J Med Syst ; 42(11): 227, 2018 Oct 08.

Article in En | MEDLINE | ID: mdl-30298212

Subject(s)

Cornea/pathology; Dry Eye Syndromes/diagnosis; Dry Eye Syndromes/pathology; Fluorophotometry/standards; Cornea/diagnostic imaging; Dry Eye Syndromes/diagnostic imaging; Female; Fluorescein; Fluorophotometry/methods; Health Status Indicators; Humans; Male

Key words

Corneal images; Dry eye; Fluorescein staining; Image processing; Oxford grading scale

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Dry Eye Syndromes / Fluorophotometry / Cornea Type of study: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Aspects: Patient_preference Limits: Female / Humans / Male Language: En Journal: J Med Syst Year: 2018 Document type: Article Affiliation country: Turkey Country of publication: United States

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