Cargando…
Deep Learning-Based CT Imaging in the Diagnosis of Treatment Effect of Pulmonary Nodules and Radiofrequency Ablation
To study the effect of computerized tomography (CT) images based on deep learning algorithms on the diagnosis of pulmonary nodules and the effect of radiofrequency ablation (RFA), the U-shaped fully convolutional neural network (FCNN) (U-Net) was enhanced. The convolutional neural network (CNN) algo...
Autores principales: | Zhou, Chengwei, Zhao, Xiaodong, Zhao, Lili, Liu, Jiayuan, Chen, Zixuan, Fang, Shuai |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9392615/ https://www.ncbi.nlm.nih.gov/pubmed/35996649 http://dx.doi.org/10.1155/2022/7326537 |
Ejemplares similares
-
Deep Learning-Based Computed Tomography Imaging to Diagnose the Lung Nodule and Treatment Effect of Radiofrequency Ablation
por: Guo, Xixi, et al.
Publicado: (2021) -
Deep learning-based growth prediction for sub-solid pulmonary nodules on CT images
por: Liao, Ri-qiang, et al.
Publicado: (2022) -
Retracted: Deep Learning-Based Computed Tomography Imaging to Diagnose the Lung Nodule and Treatment Effect of Radiofrequency Ablation
por: Healthcare Engineering, Journal of
Publicado: (2023) -
A novel circulating miRNA‐based signature for the early diagnosis and prognosis prediction of non–small‐cell lung cancer
por: Zhou, Chengwei, et al.
Publicado: (2020) -
Predicting Malignancy and Invasiveness of Pulmonary Subsolid Nodules on CT Images Using Deep Learning
por: Shen, Tianle, et al.
Publicado: (2021)