A deep learning model for lymph node metastasis prediction based on digital histopathological images of primary endometrial cancer

BACKGROUND: The current study aimed to develop a deep learning (DL) model for prediction of lymph node metastasis (LNM) based on hematoxylin and eosin (HE)-stained histopathological images of endometrial cancer (EC). The model was validated using external data. METHODS: A total of 2,104 whole slide...

Descripción completa

Detalles Bibliográficos
Autores principales: Feng, Min, Zhao, Yu, Chen, Jie, Zhao, Tingyu, Mei, Juan, Fan, Yingying, Lin, Zhenyu, Yao, Jianhua, Bu, Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10006118/
https://www.ncbi.nlm.nih.gov/pubmed/36915334
http://dx.doi.org/10.21037/qims-22-220

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10006118/
https://www.ncbi.nlm.nih.gov/pubmed/36915334
http://dx.doi.org/10.21037/qims-22-220

Ejemplares similares