Deep Learning Model for Predicting the Pathological Complete Response to Neoadjuvant Chemoradiotherapy of Locally Advanced Rectal Cancer

OBJECTIVE: This study aimed to develop an artificial intelligence model for predicting the pathological complete response (pCR) to neoadjuvant chemoradiotherapy (nCRT) of locally advanced rectal cancer (LARC) using digital pathological images. BACKGROUND: nCRT followed by total mesorectal excision (...

Descripción completa

Detalles Bibliográficos
Autores principales: Lou, Xiaoying, Zhou, Niyun, Feng, Lili, Li, Zhenhui, Fang, Yuqi, Fan, Xinjuan, Ling, Yihong, Liu, Hailing, Zou, Xuan, Wang, Jing, Huang, Junzhou, Yun, Jingping, Yao, Jianhua, Huang, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9214314/
https://www.ncbi.nlm.nih.gov/pubmed/35756653
http://dx.doi.org/10.3389/fonc.2022.807264

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9214314/
https://www.ncbi.nlm.nih.gov/pubmed/35756653
http://dx.doi.org/10.3389/fonc.2022.807264

Ejemplares similares