Staining Invariant Features for Improving Generalization of Deep Convolutional Neural Networks in Computational Pathology

One of the main obstacles for the implementation of deep convolutional neural networks (DCNNs) in the clinical pathology workflow is their low capability to overcome variability in slide preparation and scanner configuration, that leads to changes in tissue appearance. Some of these variations may n...

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Detalles Bibliográficos
Autores principales: Otálora, Sebastian, Atzori, Manfredo, Andrearczyk, Vincent, Khan, Amjad, Müller, Henning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Bioengineering and Biotechnology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6716536/
https://www.ncbi.nlm.nih.gov/pubmed/31508414
http://dx.doi.org/10.3389/fbioe.2019.00198

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6716536/
https://www.ncbi.nlm.nih.gov/pubmed/31508414
http://dx.doi.org/10.3389/fbioe.2019.00198

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