Generalisation effects of predictive uncertainty estimation in deep learning for digital pathology

Deep learning (DL) has shown great potential in digital pathology applications. The robustness of a diagnostic DL-based solution is essential for safe clinical deployment. In this work we evaluate if adding uncertainty estimates for DL predictions in digital pathology could result in increased value...

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Detalles Bibliográficos
Autores principales: Pocevičiūtė, Milda, Eilertsen, Gabriel, Jarkman, Sofia, Lundström, Claes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9117245/
https://www.ncbi.nlm.nih.gov/pubmed/35585087
http://dx.doi.org/10.1038/s41598-022-11826-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9117245/
https://www.ncbi.nlm.nih.gov/pubmed/35585087
http://dx.doi.org/10.1038/s41598-022-11826-0

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