Histo-fetch – on-the-fly processing of gigapixel whole slide images simplifies and speeds neural network training

BACKGROUND: Training convolutional neural networks using pathology whole slide images (WSIs) is traditionally prefaced by the extraction of a training dataset of image patches. While effective, for large datasets of WSIs, this dataset preparation is inefficient. METHODS: We created a custom pipeline...

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Detalles Bibliográficos
Autores principales: Lutnick, Brendon, Murali, Leema Krishna, Ginley, Brandon, Rosenberg, Avi Z., Sarder, Pinaki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Technical Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8794032/
https://www.ncbi.nlm.nih.gov/pubmed/35136674
http://dx.doi.org/10.4103/jpi.jpi_59_20

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8794032/
https://www.ncbi.nlm.nih.gov/pubmed/35136674
http://dx.doi.org/10.4103/jpi.jpi_59_20

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