Literature DB >> 34259085

The Challenge of Diabetic Retinopathy Standardization in an Ophthalmological Dataset.

Luis F Nakayama1, Mariana B Gonçalves1,2,3, Daniel A Ferraz1,2,3, Helen N V Santos1, Fernando K Malerbi1, Paulo H Morales1,2, Mauricio Maia1, Caio V S Regatier1, Rubens Belfort1,2.   

Abstract

Entities:  

Keywords:  artificial intelligence; big data; datasets; diabetic retinopathy

Mesh：

Year:  2021        PMID： 34259085      PMCID： PMC8655300          DOI： 10.1177/19322968211029943

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN： 1932-2968


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  6 in total

Review 1.  Diabetic retinopathy.

Authors:  David A Antonetti; Ronald Klein; Thomas W Gardner
Journal:  N Engl J Med       Date:  2012-03-29       Impact factor: 91.245

2.  Artificial intelligence for teleophthalmology-based diabetic retinopathy screening in a national programme: an economic analysis modelling study.

Authors:  Yuchen Xie; Quang D Nguyen; Haslina Hamzah; Gilbert Lim; Valentina Bellemo; Dinesh V Gunasekeran; Michelle Y T Yip; Xin Qi Lee; Wynne Hsu; Mong Li Lee; Colin S Tan; Hon Tym Wong; Ecosse L Lamoureux; Gavin S W Tan; Tien Y Wong; Eric A Finkelstein; Daniel S W Ting
Journal:  Lancet Digit Health       Date:  2020-04-23

Review 3.  Accelerating ophthalmic artificial intelligence research: the role of an open access data repository.

Authors:  Ashley Kras; Leo A Celi; John B Miller
Journal:  Curr Opin Ophthalmol       Date:  2020-09       Impact factor: 3.761

4.  A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis.

Authors:  Xiaoxuan Liu; Livia Faes; Aditya U Kale; Siegfried K Wagner; Dun Jack Fu; Alice Bruynseels; Thushika Mahendiran; Gabriella Moraes; Mohith Shamdas; Christoph Kern; Joseph R Ledsam; Martin K Schmid; Konstantinos Balaskas; Eric J Topol; Lucas M Bachmann; Pearse A Keane; Alastair K Denniston
Journal:  Lancet Digit Health       Date:  2019-09-25

5.  Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices.

Authors:  Michael D Abràmoff; Philip T Lavin; Michele Birch; Nilay Shah; James C Folk
Journal:  NPJ Digit Med       Date:  2018-08-28

Review 6.  Artificial intelligence and deep learning in ophthalmology.

Authors:  Daniel Shu Wei Ting; Louis R Pasquale; Lily Peng; John Peter Campbell; Aaron Y Lee; Rajiv Raman; Gavin Siew Wei Tan; Leopold Schmetterer; Pearse A Keane; Tien Yin Wong
Journal:  Br J Ophthalmol       Date:  2018-10-25       Impact factor: 4.638
  6 in total
  2 in total

1.  [Ocular changes as a diagnostic tool for malaria].

Authors:  Hanna Faber; Philipp Berens; Jens Martin Rohrbach
Journal:  Ophthalmologie       Date:  2021-12-23

2.  Diabetic retinopathy classification for supervised machine learning algorithms.

Authors:  Luis Filipe Nakayama; Lucas Zago Ribeiro; Mariana Batista Gonçalves; Daniel A Ferraz; Helen Nazareth Veloso Dos Santos; Fernando Korn Malerbi; Paulo Henrique Morales; Mauricio Maia; Caio Vinicius Saito Regatieri; Rubens Belfort Mattos
Journal:  Int J Retina Vitreous       Date:  2022-01-03
  2 in total

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