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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...
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. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
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Materias: | |
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 |
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