Federated learning for computational pathology on gigapixel whole slide images

Deep Learning-based computational pathology algorithms have demonstrated profound ability to excel in a wide array of tasks that range from characterization of well known morphological phenotypes to predicting non human-identifiable features from histology such as molecular alterations. However, the...

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Detalles Bibliográficos
Autores principales: Lu, Ming Y., Chen, Richard J., Kong, Dehan, Lipkova, Jana, Singh, Rajendra, Williamson, Drew F.K., Chen, Tiffany Y., Mahmood, Faisal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9340569/
https://www.ncbi.nlm.nih.gov/pubmed/34911013
http://dx.doi.org/10.1016/j.media.2021.102298

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9340569/
https://www.ncbi.nlm.nih.gov/pubmed/34911013
http://dx.doi.org/10.1016/j.media.2021.102298

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