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Scholarly Papers (1)

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

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