Deep-learning-based radiomics of intratumoral and peritumoral MRI images to predict the pathological features of adjuvant radiotherapy in early-stage cervical squamous cell carcinoma

Deep-learning-based radiomics of intratumoral and peritumoral MRI images to predict the pathological features of adjuvant radiotherapy in early-stage cervical squamous cell carcinoma

Abstract Background Surgery combined with radiotherapy substantially escalates the likelihood of encountering complications in early-stage cervical squamous cell carcinoma(ESCSCC). We aimed to investigate the feasibility of Deep-learning-based radiomics of intratumoral and peritumoral MRI images to...

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Bibliographic Details
Main Authors: Xue-Fang Zhang, Hong-yuan Wu, Xu-Wei Liang, Jia-Luo Chen, Jianpeng Li, Shihao Zhang, Zhigang Liu
Format: Article
Language:English
Published: BMC 2024-03-01
Series:BMC Women's Health
Subjects:
Cervical squamous cell carcinoma
Radiomics
Magnetic resonance imaging
Deep learning
Adjuvant radiotherapy
Online Access:https://doi.org/10.1186/s12905-024-03001-6

Internet

https://doi.org/10.1186/s12905-024-03001-6

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