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1
GAA-Enhanced UNet++ Model for Brain Tumor Segmentation:
, In:
2024 2nd International Conference on Networking and Communications (ICNWC)
,
Manigandan, S.K.
;
D, Ramya
;
Vishnukumar, A.
... - p. 1-6 , 2024
Link:
https://doi.org/10.1109/ICNWC60771.2024.10537366
RT T1 <cTitle>2024 2nd International Conference on Networking and Communications (ICNWC)</cTitle>: T1 <Title>GAA-Enhanced UNet++ Model for Brain Tumor Segmentation</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10537366&Exemplar=1&LAN=DE A1 Manigandan, S.K. A1 D, Ramya A1 Vishnukumar, A. A1 Velmurugan, J. A1 Muthu, V. A1 Vigneshwaran, K. YR 2024 K1 Measurement K1 Image segmentation K1 Semantic segmentation K1 Gallium arsenide K1 Logic gates K1 Planning K1 Task analysis K1 Brain tumor segmentation K1 UNet++ K1 Axial attention K1 Gated Axial Attention K1 BraTs dataset SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ICNWC60771.2024.10537366 DO https://doi.org/10.1109/ICNWC60771.2024.10537366 SF ELIB - SuUB Bremen
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