Development and validation of a predictive model combining clinical, radiomics, and deep transfer learning features for lymph node metastasis in early gastric cancer

Development and validation of a predictive model combining clinical, radiomics, and deep transfer learning features for lymph node metastasis in early gastric cancer

BackgroundThis study aims to develop and validate a predictive model combining deep transfer learning, radiomics, and clinical features for lymph node metastasis (LNM) in early gastric cancer (EGC).Materials and methodsThis study retrospectively collected 555 patients with EGC, and randomly divided...

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Bibliographic Details
Main Authors: Qingwen Zeng, Hong Li, Yanyan Zhu, Zongfeng Feng, Xufeng Shu, Ahao Wu, Lianghua Luo, Yi Cao, Yi Tu, Jianbo Xiong, Fuqing Zhou, Zhengrong Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Medicine
Subjects:
early gastric cancer (EGC)
lymph node metastasis
deep learning
radiomics
convolutional neural networks
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2022.986437/full

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https://www.frontiersin.org/articles/10.3389/fmed.2022.986437/full

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