Overcoming the limitations of patch-based learning to detect cancer in whole slide images

Whole slide images (WSIs) pose unique challenges when training deep learning models. They are very large which makes it necessary to break each image down into smaller patches for analysis, image features have to be extracted at multiple scales in order to capture both detail and context, and extrem...

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Detalles Bibliográficos
Autores principales: Ciga, Ozan, Xu, Tony, Nofech-Mozes, Sharon, Noy, Shawna, Lu, Fang-I, Martel, Anne L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8076327/
https://www.ncbi.nlm.nih.gov/pubmed/33903725
http://dx.doi.org/10.1038/s41598-021-88494-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8076327/
https://www.ncbi.nlm.nih.gov/pubmed/33903725
http://dx.doi.org/10.1038/s41598-021-88494-z

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