Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation

Automatic segmentation of ground glass opacities and consolidations in chest computer tomography (CT) scans can potentially ease the burden of radiologists during times of high resource utilisation. However, deep learning models are not trusted in the clinical routine due to failing silently on out-...

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Detalles Bibliográficos
Autores principales: González, Camila, Gotkowski, Karol, Fuchs, Moritz, Bucher, Andreas, Dadras, Armin, Fischbach, Ricarda, Kaltenborn, Isabel Jasmin, Mukhopadhyay, Anirban
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9400372/
https://www.ncbi.nlm.nih.gov/pubmed/36084564
http://dx.doi.org/10.1016/j.media.2022.102596

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9400372/
https://www.ncbi.nlm.nih.gov/pubmed/36084564
http://dx.doi.org/10.1016/j.media.2022.102596

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