SYSTEMS AND METHODS FOR DETECTION AND GRADING OF DIABETIC RETINOPATHY

Computer-implemented systems and methods for automated diagnosis of diabetic retinopathy apply machine learning techniques to clinical and demographic data combined with optical coherence tomography and optical coherence tomography angiography image data to diagnose and grade diabetic retinopathy.

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Bibliographische Detailangaben
Hauptverfasser:	EL-BAZ, AYMAN S, KEYNTON, ROBERT S, SANDHU, HARPAL
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTING COUNTING DIAGNOSIS HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA HUMAN NECESSITIES HYGIENE IDENTIFICATION IMAGE DATA PROCESSING OR GENERATION, IN GENERAL INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS MEDICAL OR VETERINARY SCIENCE PHYSICS SURGERY
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Beschreibung
Zusammenfassung:	Computer-implemented systems and methods for automated diagnosis of diabetic retinopathy apply machine learning techniques to clinical and demographic data combined with optical coherence tomography and optical coherence tomography angiography image data to diagnose and grade diabetic retinopathy.