Diagnostic Value of Deep Learning-Based CT Feature for Severe Pulmonary Infection

The study aimed to explore the diagnostic value of computed tomography (CT) images based on cavity convolution U-Net algorithm for patients with severe pulmonary infection. A new lung CT image segmentation algorithm (U-Net+ deep convolution (DC)) was proposed based on U-Net network and compared with...

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Detalles Bibliográficos
Autores principales: Huang, Tinglong, Zheng, Xuelan, He, Lisui, Chen, Zhiliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8641994/
https://www.ncbi.nlm.nih.gov/pubmed/34868521
http://dx.doi.org/10.1155/2021/5359084

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8641994/
https://www.ncbi.nlm.nih.gov/pubmed/34868521
http://dx.doi.org/10.1155/2021/5359084

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