The deep learning radiomics nomogram helps to evaluate the lymph node status in cervical adenocarcinoma/adenosquamous carcinoma

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Publication Details

Journal
Frontiers in Oncology
Published
2024-12-13
DOI
https://doi.org/10.3389/fonc.2024.1414609
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
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article

The deep learning radiomics nomogram helps to evaluate the lymph node status in cervical adenocarcinoma/adenosquamous carcinoma

Hua Feng, Yong Ai Li, Jie Cheng, Jinwei Qiang et al.
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Frontiers in Oncology
Radiomics and Machine Learning in Medical Imaging
article

The deep learning radiomics nomogram helps to evaluate the lymph node status in cervical adenocarcinoma/adenosquamous carcinoma

Hua Feng, Yong Ai Li, Jie Cheng, Jinwei Qiang, Mei Xiao, Zhao Qian, Wei Yan, Ting Qian, Guofu Zhang, Le Fu
article en

Abstract

No abstract available for this paper.
Frontiers in OncologyVol. 14
Jinshan Hospital of Fudan University (CN), International Peace Maternity & Child Health Hospital (CN), Obstetrics and Gynecology Hospital of Fudan University (CN), Shanghai First Maternity and Infant Hospital (CN), Second Affiliated Hospital of Zhejiang University (CN), Zhejiang University of Technology (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 60%
Radiomics and Machine Learning in Medical Imaging
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