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Segmentation and quantification of COVID-19 infections in CT using pulmonary vessels extraction and deep learning |
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| Authors: | 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. |
| Affiliation: | 1.Federal Institute of Maranh?o, BR-226, SN, Campus Grajaú, Vila Nova, Grajaú, MA, 65940-00, Brazil ;2.Federal University of Maranh?o, Av. dos Portugueses, SN, Campus do Bacanga, Bacanga, S?o Luís, MA, 65085-580, Brazil ;3.Dom Bosco Higher Education Unit (UNDB), Av. Colares Moreira, 443 - Jardim Renascen?a, S?o Luís, MA, 65075-441, Brazil ;4.Federal Institute of Amazonas (IFAM), BR-226, SN, Campus Grajaú, Vila Nova, Grajaú, MA, 65940-00, Brazil ;5.Rio de Janeiro State University, Boulevard 28 de Setembro, 77, Vila Isabel, Rio de Janeiro, RJ, 20551-030, Brazil ;6.Pontifical Catholic University of Rio de Janeiro, R. S?o Vicente, 225, Gávea, Rio de Janeiro, RJ, 22453-900, Brazil ; |
| Abstract: | Multimedia Tools and Applications - At the end of 2019, the World Health Organization (WHO) reported pneumonia that started in Wuhan, China, as a global emergency problem. Researchers quickly... |
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