%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 }