Evaluating the Viability of a Smartphone-Based Annotation Tool for Faster and Accurate Image Labelling for Artificial Intelligence in Diabetic Retinopathy

Evaluating the Viability of a Smartphone-Based Annotation Tool for Faster and Accurate Image Labelling for Artificial Intelligence in Diabetic Retinopathy

Arvind Kumar Morya,1 Jaitra Gowdar,2 Abhishek Kaushal,2 Nachiket Makwana,2 Saurav Biswas,2 Puneeth Raj,2 Sharat Hegde,3 Girish Velis,4 Winston Padua,5 Nazneen Nazm,6 Sangeetha Jeganathan,7 Sandeep Choudhary,1 Nishant Parashar,1 Bhavana Sharma,8 Pankaja Raghav1 1Department of Ophthalmology, All India...

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Bibliographic Details
Main Authors: Morya AK, Gowdar J, Kaushal A, Makwana N, Biswas S, Raj P, Hegde S, Velis G, Padua W, Nazm N, Jeganathan S, Choudhary S, Parashar N, Sharma B, Raghav P
Format: Article
Language:English
Published: Dove Medical Press 2021-03-01
Series:Clinical Ophthalmology
Subjects:
artificial intelligence
deep learning
referrable diabetic retinopathy
Online Access:https://www.dovepress.com/evaluating-the-viability-of-a-smartphone-based-annotation-tool-for-fas-peer-reviewed-article-OPTH

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https://www.dovepress.com/evaluating-the-viability-of-a-smartphone-based-annotation-tool-for-fas-peer-reviewed-article-OPTH

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