Impact of rescanning and normalization on convolutional neural network performance in multi-center, whole-slide classification of prostate cancer

Algorithms can improve the objectivity and efficiency of histopathologic slide analysis. In this paper, we investigated the impact of scanning systems (scanners) and cycle-GAN-based normalization on algorithm performance, by comparing different deep learning models to automatically detect prostate c...

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Detalles Bibliográficos
Autores principales: Swiderska-Chadaj, Zaneta, de Bel, Thomas, Blanchet, Lionel, Baidoshvili, Alexi, Vossen, Dirk, van der Laak, Jeroen, Litjens, Geert
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/PMC7462850/
https://www.ncbi.nlm.nih.gov/pubmed/32873856
http://dx.doi.org/10.1038/s41598-020-71420-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7462850/
https://www.ncbi.nlm.nih.gov/pubmed/32873856
http://dx.doi.org/10.1038/s41598-020-71420-0

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