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1 Ergebnisse
1
DB M-Net: An Efficient Segmentation Network for Esophagus a..:
, In:
2020 2nd Symposium on Signal Processing Systems
,
Zhou, Donghao
;
Huang, Guoheng
;
Ling, Wing-Kuen
... - p. 37-42 , 2020
Link:
https://dl.acm.org/doi/10.1145/3421515.3421531
RT T1
2020 2nd Symposium on Signal Processing Systems
: T1
DB M-Net: An Efficient Segmentation Network for Esophagus and Esophageal Tumor in Computed Tomography Images
UL https://suche.suub.uni-bremen.de/peid=acm-3421531&Exemplar=1&LAN=DE A1 Zhou, Donghao A1 Huang, Guoheng A1 Ling, Wing-Kuen A1 Ni, Haomin A1 Cheng, Lianglun A1 Zhou, Jian PB ACM YR 2020 K1 Computed tomography K1 Deep learning K1 Differentiable binarization K1 Esophageal cancer K1 Image segmentation K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks K1 Artificial intelligence K1 Computer vision K1 Computer vision problems K1 Image segmentation SP 37 OP 42 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3421515.3421531 DO https://dl.acm.org/doi/10.1145/3421515.3421531 SF ELIB - SuUB Bremen
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