Deep learning model to predict Epstein–Barr virus associated gastric cancer in histology

The detection of Epstein–Barr virus (EBV) in gastric cancer patients is crucial for clinical decision making, as it is related with specific treatment responses and prognoses. Despite its importance, the limited medical resources preclude universal EBV testing. Herein, we propose a deep learning-bas...

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Detalles Bibliográficos
Autores principales: Jeong, Yeojin, Cho, Cristina Eunbee, Kim, Ji-Eon, Lee, Jonghyun, Kim, Namkug, Jung, Woon Yong, Sung, Joohon, Kim, Ju Han, Lee, Yoo Jin, Jung, Jiyoon, Pyo, Juyeon, Song, Jisun, Park, Jihwan, Moon, Kyoung Min, Ahn, Sangjeong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9630260/
https://www.ncbi.nlm.nih.gov/pubmed/36323712
http://dx.doi.org/10.1038/s41598-022-22731-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9630260/
https://www.ncbi.nlm.nih.gov/pubmed/36323712
http://dx.doi.org/10.1038/s41598-022-22731-x

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