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Open Access

Peer-reviewed

Research Article

Topological data analysis of high resolution diabetic retinopathy images

Kathryn Garside ,

Contributed equally to this work with: Kathryn Garside, Robin Henderson, Irina Makarenko, Cristina Masoller

Roles Writing – original draft

* E-mail: K.A.Garside2@newcastle.ac.uk

Affiliation School of Mathematics, Statistics and Physics, Newcastle University, Newcastle upon Tyne, United Kingdom

http://orcid.org/0000-0001-5727-0405

⨯
Robin Henderson ,

Contributed equally to this work with: Kathryn Garside, Robin Henderson, Irina Makarenko, Cristina Masoller

Roles Writing – original draft

Affiliation School of Mathematics, Statistics and Physics, Newcastle University, Newcastle upon Tyne, United Kingdom
⨯
Irina Makarenko ,

Contributed equally to this work with: Kathryn Garside, Robin Henderson, Irina Makarenko, Cristina Masoller

Roles Writing – original draft

Affiliation School of Mathematics, Statistics and Physics, Newcastle University, Newcastle upon Tyne, United Kingdom
⨯
Cristina Masoller

Contributed equally to this work with: Kathryn Garside, Robin Henderson, Irina Makarenko, Cristina Masoller

Roles Writing – original draft

Affiliation Department of Physics, Universitat Politecnica de Catalunya, Barcelona, Spain
⨯

Topological data analysis of high resolution diabetic retinopathy images

Kathryn Garside,
Robin Henderson,
Irina Makarenko,
Cristina Masoller

x

Published: May 24, 2019
https://doi.org/10.1371/journal.pone.0217413

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Diabetes mellitus
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Support vector machines
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Imaging techniques
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Health statistics
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Diabetic retinopathy
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Algebraic topology
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Health informatics
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Blood vessels
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