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A Right Ventricle Segmentation Method based on U-Net with W..:

, In: Proceedings of the 2020 2nd International Conference on Intelligent Medicine and Image Processing,

Miao, Yu ; Shen, Chun-Xia ; Shi, Wei-Li... - p. 40-46 , 2020

Link: https://dl.acm.org/doi/10.1145/3399637.3399652

RT 
T1 <cTitle>Proceedings of the 2020 2nd International Conference on Intelligent Medicine and Image Processing</cTitle>: T1 <Title>A Right Ventricle Segmentation Method based on U-Net with Weighted Convolution and Dense Connection</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3399652&Exemplar=1&LAN=DE
				
A1 Miao, Yu
A1 Shen, Chun-Xia
A1 Shi, Wei-Li
A1 Zhang, Ke
A1 Jiang, Zhen-Gang
A1 Yang, Hua-Min
PB ACM
YR 2020
K1 Dense connection
K1 Depthwise separable weighted convolution
K1 Right ventricular segmentation
K1 Shinkage loss
K1 U-Net
K1 Computing methodologies
K1 Artificial intelligence
K1 Computer vision
K1 Computer vision problems
K1 Image segmentation
K1 Computer graphics
K1 Image manipulation
K1 Image processing
K1 Machine learning
K1 Learning settings
K1 Networks
K1 Network performance evaluation
K1 Applied computing
K1 Life and medical sciences
K1 Machine learning approaches
K1 Neural networks
SP 40
OP 46
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3399637.3399652
DO https://dl.acm.org/doi/10.1145/3399637.3399652
SF ELIB - SuUB Bremen

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