Few-shot out-of-distribution detection for automated screening in retinal OCT images using deep lear...
Few-shot out-of-distribution detection for automated screening in retinal OCT images using deep learning
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London: Nature Publishing Group UK
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Language
English
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London: Nature Publishing Group UK
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Deep neural networks have been increasingly proposed for automated screening and diagnosis of retinal diseases from optical coherence tomography (OCT), but often provide high-confidence predictions on out-of-distribution (OOD) cases, compromising their clinical usage. With this in mind, we performed an in-depth comparative analysis of the state-of-...
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Full title
Few-shot out-of-distribution detection for automated screening in retinal OCT images using deep learning
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TN_cdi_doaj_primary_oai_doaj_org_article_697c247950754b71974cd9687e5d16f8
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_697c247950754b71974cd9687e5d16f8
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-023-43018-9
