z-logo
open-access-imgOpen Access
Evaluating the Viability of a Smartphone-Based Annotation Tool for Faster and Accurate Image Labelling for Artificial Intelligence in Diabetic Retinopathy [Erratum]
Author(s) -
Arvind Kumar Morya,
Jaitra Gowdar,
Abhishek Kaushal,
Nachiket Makwana,
Saurav Biswas,
Puneeth Raj,
Shabnam Singh,
Sharat Hegde,
Raksha Vaishnav,
Sharan Shetty,
S P Vidyambika,
Vedang Shah,
Sabita Paul,
Sonali Muralidhar,
Girish Velis,
Winston Padua,
Tushar Waghule,
Nazneen Nazm,
Sangeetha Jeganathan,
Ayyappa Reddy Mallidi,
Dona Susan John,
Sagnik Sen,
Sandeep Choudhary,
Nishant Parashar,
Bhavana Sharma,
Pankaja Raghav,
Raghuveer Udawat,
Sampat Ram,
Umang P Salodia
Publication year - 2021
Publication title -
clinical ophthalmology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.025
H-Index - 56
eISSN - 1177-5483
pISSN - 1177-5467
DOI - 10.2147/opth.s324359
Subject(s) - labelling , medicine , diabetic retinopathy , ophthalmology , annotation , artificial intelligence , optometry , computer science , diabetes mellitus , endocrinology , biology , biochemistry

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here