Deep learning-based subtyping of gastric cancer histology predicts clinical outcome: a multi-institutional retrospective study

INTRODUCTION: The Laurén classification is widely used for Gastric Cancer (GC) histology subtyping. However, this classification is prone to interobserver variability and its prognostic value remains controversial. Deep Learning (DL)-based assessment of hematoxylin and eosin (H&E) stained slides...

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Detalles Bibliográficos
Autores principales: Veldhuizen, Gregory Patrick, Röcken, Christoph, Behrens, Hans-Michael, Cifci, Didem, Muti, Hannah Sophie, Yoshikawa, Takaki, Arai, Tomio, Oshima, Takashi, Tan, Patrick, Ebert, Matthias P., Pearson, Alexander T., Calderaro, Julien, Grabsch, Heike I., Kather, Jakob Nikolas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10361890/
https://www.ncbi.nlm.nih.gov/pubmed/37269416
http://dx.doi.org/10.1007/s10120-023-01398-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10361890/
https://www.ncbi.nlm.nih.gov/pubmed/37269416
http://dx.doi.org/10.1007/s10120-023-01398-x

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