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1
Hybrid RA2-Net: Residual Atrous Attention Network for Vesse..:
, In:
2023 International Conference on Advances in Electronics, Communication, Computing and Intelligent Information Systems (ICAECIS)
,
P, Geetha Pavani
;
Biswal, Birendra
;
Gandhi, Tapan Kumar
. - p. 222-227 , 2023
Link:
https://doi.org/10.1109/ICAECIS58353.2023.10170331
RT T1 <cTitle>2023 International Conference on Advances in Electronics, Communication, Computing and Intelligent Information Systems (ICAECIS)</cTitle>: T1 <Title>Hybrid RA2-Net: Residual Atrous Attention Network for Vessel Classification using Fundus Images</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10170331&Exemplar=1&LAN=DE A1 P, Geetha Pavani A1 Biswal, Birendra A1 Gandhi, Tapan Kumar A1 T, Krishna YR 2023 K1 Image segmentation K1 Visualization K1 Sensitivity K1 Convolution K1 Veins K1 Termination of employment K1 Feature extraction K1 RHAC (Residual Hybrid Atrous Convolution) K1 Channel Attention K1 RCL (Recurrent Convolution Layer) K1 Segmentation K1 U-Net SP 222 OP 227 LK http://dx.doi.org/https://doi.org/10.1109/ICAECIS58353.2023.10170331 DO https://doi.org/10.1109/ICAECIS58353.2023.10170331 SF ELIB - SuUB Bremen
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