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...

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Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
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

Internet

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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