Segmentation and quantification of COVID-19 infections in CT using pulmonary vessels extraction and deep learning

At the end of 2019, the World Health Organization (WHO) reported pneumonia that started in Wuhan, China, as a global emergency problem. Researchers quickly advanced in research to try to understand this COVID-19 and sough solutions for the front-line professionals fighting this fatal disease. One of...

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Detalles Bibliográficos
Autores principales: Diniz, João O. B., Quintanilha, Darlan B. P., Santos Neto, Antonino C., da Silva, Giovanni L. F., Ferreira, Jonnison L., Netto, Stelmo M. B., Araújo, José D. L., Da Cruz, Luana B., Silva, Thamila F. B., da S. Martins, Caio M., Ferreira, Marcos M., Rego, Venicius G., Boaro, José M. C., Cipriano, Carolina L. S., Silva, Aristófanes C., de Paiva, Anselmo C., Junior, Geraldo Braz, de Almeida, João D. S., Nunes, Rodolfo A., Mogami, Roberto, Gattass, M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8224997/
https://www.ncbi.nlm.nih.gov/pubmed/34188605
http://dx.doi.org/10.1007/s11042-021-11153-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8224997/
https://www.ncbi.nlm.nih.gov/pubmed/34188605
http://dx.doi.org/10.1007/s11042-021-11153-y

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