Analysis of the Clinical Characteristics of Tuberculosis Patients based on Multi-Constrained Computed Tomography (CT) Image Segmentation Algorithm

OBJECTIVE: We used U-shaped convolutional neural network (U_Net) multi-constraint image segmentation method to compare the diagnosis and imaging characteristics of tuberculosis and tuberculosis with lung cancer patients with Computed Tomography (CT). METHODS: We selected 160 patients with tuberculos...

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Detalles Bibliográficos
Autores principales: Zhu, Feng, Zhang, Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Professional Medical Publications 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8520368/
https://www.ncbi.nlm.nih.gov/pubmed/34712310
http://dx.doi.org/10.12669/pjms.37.6-WIT.4795

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8520368/
https://www.ncbi.nlm.nih.gov/pubmed/34712310
http://dx.doi.org/10.12669/pjms.37.6-WIT.4795

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