Convolutional Neural Network-Based Diagnostic Model for a Solid, Indeterminate Solitary Pulmonary Nodule or Mass on Computed Tomography

PURPOSE: To establish a non-invasive diagnostic model based on convolutional neural networks (CNNs) to distinguish benign from malignant lesions manifesting as a solid, indeterminate solitary pulmonary nodule (SPN) or mass (SPM) on computed tomography (CT). METHOD: A total of 459 patients with solid...

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Detalles Bibliográficos
Autores principales: Sun, Ke, Chen, Shouyu, Zhao, Jiabi, Wang, Bin, Yang, Yang, Wang, Yin, Wu, Chunyan, Sun, Xiwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8724915/
https://www.ncbi.nlm.nih.gov/pubmed/34993146
http://dx.doi.org/10.3389/fonc.2021.792062

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8724915/
https://www.ncbi.nlm.nih.gov/pubmed/34993146
http://dx.doi.org/10.3389/fonc.2021.792062

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