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

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

Summary: 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 biologic...

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Bibliographic Details
Main Authors: Yunlang She, Bingxi He, Fang Wang, Yifan Zhong, Tingting Wang, Zhenchuan Liu, Minglei Yang, Bentong Yu, Jiajun Deng, Xiwen Sun, Chunyan Wu, Likun Hou, Yuming Zhu, Yang Yang, Hongjie Hu, Di Dong, Chang Chen, Jie Tian
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:EBioMedicine
Subjects:
Deep learning
Neoadjuvant chemoimmunotherapy
Major pathological response
Non-small cell lung cancer
Online Access:http://www.sciencedirect.com/science/article/pii/S2352396422005461

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http://www.sciencedirect.com/science/article/pii/S2352396422005461

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