The evolving role of morphology in endometrial cancer diagnostics: From histopathology and molecular testing towards integrative data analysis by deep learning

Endometrial cancer (EC) diagnostics is evolving into a system in which molecular aspects are increasingly important. The traditional histological subtype-driven classification has shifted to a molecular-based classification that stratifies EC into DNA polymerase epsilon mutated (POLEmut), mismatch r...

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Detalles Bibliográficos
Autores principales: Fremond, Sarah, Koelzer, Viktor Hendrik, Horeweg, Nanda, Bosse, Tjalling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9433878/
https://www.ncbi.nlm.nih.gov/pubmed/36059702
http://dx.doi.org/10.3389/fonc.2022.928977

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9433878/
https://www.ncbi.nlm.nih.gov/pubmed/36059702
http://dx.doi.org/10.3389/fonc.2022.928977

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