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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

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