Ultrasound-based deep learning using the VGGNet model for the differentiation of benign and malignant thyroid nodules: A meta-analysis

OBJECTIVE: The aim of this study was to evaluate the accuracy of deep learning using the convolutional neural network VGGNet model in distinguishing benign and malignant thyroid nodules based on ultrasound images. METHODS: Relevant studies were selected from PubMed, Embase, Cochrane Library, China N...

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Detalles Bibliográficos
Autores principales: Zhu, Pei-Shan, Zhang, Yu-Rui, Ren, Jia-Yu, Li, Qiao-Li, Chen, Ming, Sang, Tian, Li, Wen-Xiao, Li, Jun, Cui, Xin-Wu
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/PMC9554631/
https://www.ncbi.nlm.nih.gov/pubmed/36249056
http://dx.doi.org/10.3389/fonc.2022.944859

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9554631/
https://www.ncbi.nlm.nih.gov/pubmed/36249056
http://dx.doi.org/10.3389/fonc.2022.944859

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