Pan-cancer diagnostic consensus through searching archival histopathology images using artificial intelligence

The emergence of digital pathology has opened new horizons for histopathology. Artificial intelligence (AI) algorithms are able to operate on digitized slides to assist pathologists with different tasks. Whereas AI-involving classification and segmentation methods have obvious benefits for image ana...

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Detalles Bibliográficos
Autores principales: Kalra, Shivam, Tizhoosh, H. R., Shah, Sultaan, Choi, Charles, Damaskinos, Savvas, Safarpoor, Amir, Shafiei, Sobhan, Babaie, Morteza, Diamandis, Phedias, Campbell, Clinton J. V., Pantanowitz, Liron
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7064517/
https://www.ncbi.nlm.nih.gov/pubmed/32195366
http://dx.doi.org/10.1038/s41746-020-0238-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7064517/
https://www.ncbi.nlm.nih.gov/pubmed/32195366
http://dx.doi.org/10.1038/s41746-020-0238-2

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