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Deep Learning Analysis Using (18)F-FDG PET/CT to Predict Occult Lymph Node Metastasis in Patients With Clinical N0 Lung Adenocarcinoma
INTRODUCTION: The aim of this work was to determine the feasibility of using a deep learning approach to predict occult lymph node metastasis (OLM) based on preoperative FDG-PET/CT images in patients with clinical node-negative (cN0) lung adenocarcinoma. MATERIALS AND METHODS: Dataset 1 (for trainin...
Autores principales: | Ouyang, Ming-li, Zheng, Rui-xuan, Wang, Yi-ran, Zuo, Zi-yi, Gu, Liu-dan, Tian, Yu-qian, Wei, Yu-guo, Huang, Xiao-ying, Tang, Kun, Wang, Liang-xing |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9301998/ https://www.ncbi.nlm.nih.gov/pubmed/35875089 http://dx.doi.org/10.3389/fonc.2022.915871 |
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