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%0 Journal Article
%1 journals/access/KhaingOYMYNAMH21
%A Khaing, Tin Tin
%A Okamoto, Takayuki
%A Ye, Chen
%A Mannan, Md. Abdul
%A Yokouchi, Hirotaka
%A Nakano, Kazuya
%A Aimmanee, Pakinee
%A Makhanov, Stanislav S.
%A Haneishi, Hideaki
%D 2021
%J IEEE Access
%K dblp
%P 150951-150965
%T ChoroidNET: A Dense Dilated U-Net Model for Choroid Layer and Vessel Segmentation in Optical Coherence Tomography Images.
%U http://dblp.uni-trier.de/db/journals/access/access9.html#KhaingOYMYNAMH21
%V 9
@article{journals/access/KhaingOYMYNAMH21,
added-at = {2022-09-06T00:00:00.000+0200},
author = {Khaing, Tin Tin and Okamoto, Takayuki and Ye, Chen and Mannan, Md. Abdul and Yokouchi, Hirotaka and Nakano, Kazuya and Aimmanee, Pakinee and Makhanov, Stanislav S. and Haneishi, Hideaki},
biburl = {https://www.bibsonomy.org/bibtex/207d38fa6edb823d3993525c85a30f549/dblp},
ee = {https://doi.org/10.1109/ACCESS.2021.3124993},
interhash = {a1be519aced2d46075246f0db1da1a3e},
intrahash = {07d38fa6edb823d3993525c85a30f549},
journal = {IEEE Access},
keywords = {dblp},
pages = {150951-150965},
timestamp = {2024-04-08T13:50:33.000+0200},
title = {ChoroidNET: A Dense Dilated U-Net Model for Choroid Layer and Vessel Segmentation in Optical Coherence Tomography Images.},
url = {http://dblp.uni-trier.de/db/journals/access/access9.html#KhaingOYMYNAMH21},
volume = 9,
year = 2021
}