Detection of anaemia from retinal fundus images via deep learning-Reference-Cited by-同舟云学术

Detection of anaemia from retinal fundus images via deep learning

Published:2019-12-23 Issue:1 Volume:4 Page:18-27
ISSN:2157-846X
Container-title:Nature Biomedical Engineering
language:en
Short-container-title:Nat Biomed Eng

Author:

Mitani Akinori^ORCID,Huang Abigail,Venugopalan Subhashini^ORCID,Corrado Greg S.,Peng Lily,Webster Dale R.^ORCID,Hammel Naama,Liu Yun^ORCID,Varadarajan Avinash V.

Funder

Google

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Biomedical Engineering,Medicine (miscellaneous),Bioengineering,Biotechnology

Link

https://www.nature.com/articles/s41551-019-0487-z.pdf

Reference62 articles.

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2. Stevens, G. A. et al. Global, regional, and national trends in haemoglobin concentration and prevalence of total and severe anaemia in children and pregnant and non-pregnant women for 1995–2011: a systematic analysis of population-representative data. Lancet Glob. Health 1, e16–e25 (2013).

3. Stoltzfus, R. J. Iron-deficiency anemia: reexamining the nature and magnitude of the public health problem. Summary: implications for research and programs. J. Nutr. 131, 697S–701S (2001).

4. Milman, N. Anemia—still a major health problem in many parts of the world! Ann. Hematol. 90, 369–377 (2011).

5. Smith, R. E. Jr. The clinical and economic burden of anemia. Am. J. Manag. Care 16 (Suppl.), S59–S66 (2010).

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