Article,
Segmentation and quantification of COVID-19 infections in CT using pulmonary vessels extraction and deep learning.
J. Diniz, D. Quintanilha, A. dos Santos Neto, G. da Silva, J. Ferreira, S. Netto, J. Araújo, L. da Cruz, T. Fontenele, C. da S. Martins, M. Ferreira, V. Garcia, J. Boaro, C. Cipriano, A. Silva, A. de Paiva, G. Junior, J. de Almeida, R. Nunes, R. Mogami, and M. Gattass.Multim. Tools Appl., 80 (19): 29367-29399 (2021)
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- 29367-29399
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- https://doi.org/10.1007/s11042-021-11153-y
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%1 journals/mta/DinizQNSFNACFMF21
%A Diniz, João Otávio Bandeira
%A Quintanilha, Darlan Bruno Pontes
%A dos Santos Neto, Antonino C.
%A da Silva, Giovanni Lucca França
%A Ferreira, Jonnison Lima
%A Netto, Stelmo Magalhães Barros
%A Araújo, José Denes Lima
%A da Cruz, Luana Batista
%A Fontenele, Thamila
%A da S. Martins, Caio M.
%A Ferreira, Marcos Melo
%A Garcia, Venicius
%A Boaro, José M. C.
%A Cipriano, Carolina L. S.
%A Silva, Aristófanes C.
%A de Paiva, Anselmo Cardoso
%A Junior, Geraldo Braz
%A de Almeida, João Dallyson Sousa
%A Nunes, Rodolfo Acatauassu
%A Mogami, Roberto
%A Gattass, Marcelo
%D 2021
%J Multim. Tools Appl.
%K dblp
%N 19
%P 29367-29399
%T Segmentation and quantification of COVID-19 infections in CT using pulmonary vessels extraction and deep learning.
%U http://dblp.uni-trier.de/db/journals/mta/mta80.html#DinizQNSFNACFMF21
%V 80
@article{journals/mta/DinizQNSFNACFMF21,
added-at = {2023-11-12T00:00:00.000+0100},
author = {Diniz, João Otávio Bandeira and Quintanilha, Darlan Bruno Pontes and dos Santos Neto, Antonino C. and da Silva, Giovanni Lucca França and Ferreira, Jonnison Lima and Netto, Stelmo Magalhães Barros and Araújo, José Denes Lima and da Cruz, Luana Batista and Fontenele, Thamila and da S. Martins, Caio M. and Ferreira, Marcos Melo and Garcia, Venicius and Boaro, José M. C. and Cipriano, Carolina L. S. and Silva, Aristófanes C. and de Paiva, Anselmo Cardoso and Junior, Geraldo Braz and de Almeida, João Dallyson Sousa and Nunes, Rodolfo Acatauassu and Mogami, Roberto and Gattass, Marcelo},
biburl = {https://www.bibsonomy.org/bibtex/2de771a14c10e6eefe4a07e17fa15ebf2/dblp},
ee = {https://doi.org/10.1007/s11042-021-11153-y},
interhash = {deafdcd102fc99932ec64f33fb97f343},
intrahash = {de771a14c10e6eefe4a07e17fa15ebf2},
journal = {Multim. Tools Appl.},
keywords = {dblp},
number = 19,
pages = {29367-29399},
timestamp = {2024-04-08T15:19:18.000+0200},
title = {Segmentation and quantification of COVID-19 infections in CT using pulmonary vessels extraction and deep learning.},
url = {http://dblp.uni-trier.de/db/journals/mta/mta80.html#DinizQNSFNACFMF21},
volume = 80,
year = 2021
}