AB012. Automated histologic subtyping of thymic epithelial tumors with deep learning

BACKGROUND: Rare tumors are diagnostic challenges for pathologists. Thymic epithelial tumors (TETs) are heterogenous and their treatment strategies vary according to histological subgroup. Previous work has shown that a second pathological opinion may result in a change in diagnosis for more than ha...

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Detalles Bibliográficos
Autores principales: Dolezal, James M., Guo, Wenji, Bestvina, Christine, Vokes, Everett, Donington, Jessica, Husain, Aliya, Garassino, Marina Chiara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Abstract
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9792820/
http://dx.doi.org/10.21037/med-22-ab012

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9792820/
http://dx.doi.org/10.21037/med-22-ab012

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