Autonomous early detection of eye disease in childhood photographs-Reference-Cited by-同舟云学术

Autonomous early detection of eye disease in childhood photographs

Published:2019-10-04 Issue:10 Volume:5 Page:
ISSN:2375-2548
Container-title:Science Advances
language:en
Short-container-title:Sci. Adv.

Author:

Munson Micheal C.¹^ORCID,Plewman Devon L.¹^ORCID,Baumer Katelyn M.¹^ORCID,Henning Ryan²,Zahler Collin T.¹,Kietzman Alexander T.¹,Beard Alexandra A.¹^ORCID,Mukai Shizuo³⁴^ORCID,Diller Lisa⁴⁵^ORCID,Hamerly Greg²^ORCID,Shaw Bryan F.¹^ORCID

Affiliation:

1. Department of Chemistry and Biochemistry, Baylor University, Waco, TX, USA.

2. Department of Computer Science, Baylor University, Waco, TX, USA.

3. Retina Service, Massachusetts Eye and Ear Infirmary, Boston, MA, USA.

4. Harvard Medical School, Boston, MA, USA.

5. Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.

Abstract

A smartphone app searches baby pictures for common and rare eye disorders.

Funder

National Science Foundation

Welch Foundation

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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