Inflation of test accuracy due to data leakage in deep learning-based classification of OCT images
Inflation of test accuracy due to data leakage in deep learning-based classification of OCT images
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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In the application of deep learning on optical coherence tomography (OCT) data, it is common to train classification networks using 2D images originating from volumetric data. Given the micrometer resolution of OCT systems, consecutive images are often very similar in both visible structures and noise. Thus, an inappropriate data split can result i...
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Inflation of test accuracy due to data leakage in deep learning-based classification of OCT images
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TN_cdi_doaj_primary_oai_doaj_org_article_6656aa5538aa4994ab5940befa5e25c1
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6656aa5538aa4994ab5940befa5e25c1
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ISSN
2052-4463
E-ISSN
2052-4463
DOI
10.1038/s41597-022-01618-6
