A tool for federated training of segmentation models on whole slide images

The largest bottleneck to the development of convolutional neural network (CNN) models in the computational pathology domain is the collection and curation of diverse training datasets. Training CNNs requires large cohorts of image data, and model generalizability is dependent on training data heter...

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Detalles Bibliográficos
Autores principales: Lutnick, Brendon, Manthey, David, Becker, Jan U., Zuckerman, Jonathan E., Rodrigues, Luis, Jen, Kuang-Yu, 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/PMC9326476/
https://www.ncbi.nlm.nih.gov/pubmed/35910077
http://dx.doi.org/10.1016/j.jpi.2022.100101

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9326476/
https://www.ncbi.nlm.nih.gov/pubmed/35910077
http://dx.doi.org/10.1016/j.jpi.2022.100101

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