An observational study to assess if automated diabetic retinopathy image assessment software can replace one or more steps of manual imaging grading and to determine their cost-effectiveness

An observational study to assess if automated diabetic retinopathy image assessment software can replace one or more steps of manual imaging grading and to determine their cost-effectiveness

Background: Diabetic retinopathy screening in England involves labour-intensive manual grading of retinal images. Automated retinal image analysis systems (ARIASs) may offer an alternative to manual grading. Objectives: To determine the screening performance and cost-effectiveness of ARIASs to repla...

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Dades bibliogràfiques
Autors principals: Adnan Tufail, Venediktos V Kapetanakis, Sebastian Salas-Vega, Catherine Egan, Caroline Rudisill, Christopher G Owen, Aaron Lee, Vern Louw, John Anderson, Gerald Liew, Louis Bolter, Clare Bailey, SriniVas Sadda, Paul Taylor, Alicja R Rudnicka
Format: Article
Idioma:English
Publicat: NIHR Journals Library 2016-12-01
Col·lecció:Health Technology Assessment
Matèries:
diabetes mellitus
diabetic retinopathy
digital image
screening
validation
automatic classification
sensitivity
specificity
detection
health economics
cost-effectiveness
machine learning
Accés en línia:https://doi.org/10.3310/hta20920

Internet

https://doi.org/10.3310/hta20920

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