The pathological risk score: A new deep learning‐based signature for predicting survival in cervical cancer

PURPOSE: To develop and validate a deep learning‐based pathological risk score (RS) with an aim of predicting patients' prognosis to investigate the potential association between the information within the whole slide image (WSI) and cervical cancer prognosis. METHODS: A total of 251 patients w...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Chi, Cao, Yuye, Li, Weili, Liu, Zhenyu, Liu, Ping, Tian, Xin, Sun, Caixia, Wang, Wuliang, Gao, Han, Kang, Shan, Wang, Shaoguang, Jiang, Jingying, Chen, Chunlin, Tian, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
RESEARCH ARTICLES
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9883425/
https://www.ncbi.nlm.nih.gov/pubmed/35762423
http://dx.doi.org/10.1002/cam4.4953

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9883425/
https://www.ncbi.nlm.nih.gov/pubmed/35762423
http://dx.doi.org/10.1002/cam4.4953

Ejemplares similares