Fast and scalable search of whole-slide images via self-supervised deep learning

The adoption of digital pathology has enabled the curation of large repositories of gigapixel whole-slide images (WSIs). Computationally identifying WSIs with similar morphologic features within large repositories without requiring supervised training can have significant applications. However, the...

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Detalles Bibliográficos
Autores principales: Chen, Chengkuan, Lu, Ming Y., Williamson, Drew F. K., Chen, Tiffany Y., Schaumberg, Andrew J., Mahmood, Faisal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9792371/
https://www.ncbi.nlm.nih.gov/pubmed/36217022
http://dx.doi.org/10.1038/s41551-022-00929-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9792371/
https://www.ncbi.nlm.nih.gov/pubmed/36217022
http://dx.doi.org/10.1038/s41551-022-00929-8

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