Segmentation on Chest CT Imaging in COVID-19 Based on the Improvement Attention U-Net Model.
N. Tran, H. Nguyen, N. Huynh, N. Tran, and L. Nguyen. SoMeT, volume 355 of Frontiers in Artificial Intelligence and Applications, page 596-606. IOS Press, (2022)
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%0 Conference Paper
%1 conf/somet/Tran0HTN22
%A Tran, Nguyen N. D.
%A Nguyen, Hien D.
%A Huynh, Nhan T.
%A Tran, Nha P.
%A Nguyen, Linh V.
%B SoMeT
%D 2022
%E Fujita, Hamido
%E Watanobe, Yutaka
%E Azumi, Takuya
%I IOS Press
%K dblp
%P 596-606
%T Segmentation on Chest CT Imaging in COVID-19 Based on the Improvement Attention U-Net Model.
%U http://dblp.uni-trier.de/db/conf/somet/somet2022.html#Tran0HTN22
%V 355
%@ 978-1-64368-317-1
@inproceedings{conf/somet/Tran0HTN22,
added-at = {2023-02-12T00:00:00.000+0100},
author = {Tran, Nguyen N. D. and Nguyen, Hien D. and Huynh, Nhan T. and Tran, Nha P. and Nguyen, Linh V.},
biburl = {https://www.bibsonomy.org/bibtex/2d184729df5420ae0da886af944e7fba0/dblp},
booktitle = {SoMeT},
crossref = {conf/somet/2022},
editor = {Fujita, Hamido and Watanobe, Yutaka and Azumi, Takuya},
ee = {https://doi.org/10.3233/FAIA220288},
interhash = {870c12523ee8ebc551d18472f211d923},
intrahash = {d184729df5420ae0da886af944e7fba0},
isbn = {978-1-64368-317-1},
keywords = {dblp},
pages = {596-606},
publisher = {IOS Press},
series = {Frontiers in Artificial Intelligence and Applications},
timestamp = {2024-04-09T17:06:55.000+0200},
title = {Segmentation on Chest CT Imaging in COVID-19 Based on the Improvement Attention U-Net Model.},
url = {http://dblp.uni-trier.de/db/conf/somet/somet2022.html#Tran0HTN22},
volume = 355,
year = 2022
}
