A global review of publicly available datasets for ophthalmological imaging: barriers to access, usability, and generalisability-Reference-Cited by-同舟云学术

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A global review of publicly available datasets for ophthalmological imaging: barriers to access, usability, and generalisability

Published:2021-01 Issue:1 Volume:3 Page:e51-e66
ISSN:2589-7500
Container-title:The Lancet Digital Health
language:en
Short-container-title:The Lancet Digital Health

Author:

Khan Saad M,Liu Xiaoxuan,Nath Siddharth,Korot Edward,Faes Livia,Wagner Siegfried K,Keane Pearse A,Sebire Neil J,Burton Matthew J,Denniston Alastair K

Publisher

Elsevier BV

Subject

Health Information Management,Decision Sciences (miscellaneous),Health Informatics,Medicine (miscellaneous)

Reference33 articles.

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4. Dermatologist-level classification of skin cancer with deep neural networks;Esteva;Nature,2017

5. Identifying medical diagnoses and treatable diseases by image-based deep learning;Kermany;Cell,2018

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