Dawn Sim

Government of the United Kingdom - NIHR Biomedical Research Centre for Ophthalmology

London

United Kingdom

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Scholarly Papers (1)

1.

Feasibility of Automated Deep Learning Design for Medical Image Classification by Healthcare Professionals with Limited Coding Experience

The Lancet Digital Health, Volume 1, Issue 5, September 2019, Pages e232-e242, https://doi.org/10.1016/S2589-7500(19)30108-6
Number of pages: 37 Posted: 14 Jun 2019
Cantonal Hospital of Lucerne, Government of the United Kingdom - NIHR Biomedical Research Centre for Ophthalmology, Government of the United Kingdom - Moorfields Eye Hospital, Government of the United Kingdom - Moorfields Eye Hospital, Beaumont Eye Institute, Google DeepMind, Google DeepMind, Government of the United Kingdom - NIHR Biomedical Research Centre for Ophthalmology, Government of the United Kingdom - NIHR Biomedical Research Centre for Ophthalmology, Government of the United Kingdom - Moorfields Eye Hospital, Government of the United Kingdom - Moorfields Eye Hospital, Cantonal Hospital of Lucerne, Government of the United Kingdom - NIHR Biomedical Research Centre for Ophthalmology, Government of the United Kingdom - Moorfields Eye Hospital, Medignition, Inc, University Hospitals Birmingham, Department of Ophthalmology and Government of the United Kingdom - NIHR Biomedical Research Centre for Ophthalmology
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Abstract:

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Deep learning, Automated deep learning, Neural architecture search