Resolving challenges in deep learning-based analyses of histopathological images using explanation methods

Deep learning has recently gained popularity in digital pathology due to its high prediction quality. However, the medical domain requires explanation and insight for a better understanding beyond standard quantitative performance evaluation. Recently, many explanation methods have emerged. This wor...

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Detalles Bibliográficos
Autores principales: Hägele, Miriam, Seegerer, Philipp, Lapuschkin, Sebastian, Bockmayr, Michael, Samek, Wojciech, Klauschen, Frederick, Müller, Klaus-Robert, Binder, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7156509/
https://www.ncbi.nlm.nih.gov/pubmed/32286358
http://dx.doi.org/10.1038/s41598-020-62724-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7156509/
https://www.ncbi.nlm.nih.gov/pubmed/32286358
http://dx.doi.org/10.1038/s41598-020-62724-2

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