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Automatic Segmentation of Gross Target Volume of Nasopharynx Cancer
  using Ensemble of Multiscale Deep Neural Networks with Spatial Attention

Automatic Segmentation of Gross Target Volume of Nasopharynx Cancer using Ensemble of Multiscale Deep Neural Networks with Spatial Attention

27 January 2021
Haochen Mei
Wenhui Lei
Ran Gu
Shan Ye
Zhengwentai Sun
Shichuan Zhang
Guotai Wang
ArXivPDFHTML

Papers citing "Automatic Segmentation of Gross Target Volume of Nasopharynx Cancer using Ensemble of Multiscale Deep Neural Networks with Spatial Attention"

3 / 3 papers shown
Title
AWSnet: An Auto-weighted Supervision Attention Network for Myocardial
  Scar and Edema Segmentation in Multi-sequence Cardiac Magnetic Resonance
  Images
AWSnet: An Auto-weighted Supervision Attention Network for Myocardial Scar and Edema Segmentation in Multi-sequence Cardiac Magnetic Resonance Images
Kaini Wang
Xin Yang
Juzheng Miao
Lei Li
Jing Yao
Ping Zhou
Wufeng Xue
Guangquan Zhou
Xiahai Zhuang
Dong Ni
23
41
0
14 Jan 2022
Bridging 2D and 3D Segmentation Networks for Computation Efficient
  Volumetric Medical Image Segmentation: An Empirical Study of 2.5D Solutions
Bridging 2D and 3D Segmentation Networks for Computation Efficient Volumetric Medical Image Segmentation: An Empirical Study of 2.5D Solutions
Yichi Zhang
Qingcheng Liao
Leiting Ding
Jicong Zhang
3DV
26
81
0
13 Oct 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,675
0
05 Dec 2016
1