Deep learning for predicting major pathological response to neoadjuvant chemoimmunotherapy in non-small cell lung cancer: A multicentre study

BACKGROUND: This study, based on multicentre cohorts, aims to utilize computed tomography (CT) images to construct a deep learning model for predicting major pathological response (MPR) to neoadjuvant chemoimmunotherapy in non-small cell lung cancer (NSCLC) and further explore the biological basis u...

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Detalles Bibliográficos
Autores principales: She, Yunlang, He, Bingxi, Wang, Fang, Zhong, Yifan, Wang, Tingting, Liu, Zhenchuan, Yang, Minglei, Yu, Bentong, Deng, Jiajun, Sun, Xiwen, Wu, Chunyan, Hou, Likun, Zhu, Yuming, Yang, Yang, Hu, Hongjie, Dong, Di, Chen, Chang, Tian, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9672965/
https://www.ncbi.nlm.nih.gov/pubmed/36395737
http://dx.doi.org/10.1016/j.ebiom.2022.104364

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9672965/
https://www.ncbi.nlm.nih.gov/pubmed/36395737
http://dx.doi.org/10.1016/j.ebiom.2022.104364

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