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Self-Adaptive 2D-3D Ensemble of Fully Convolutional Networks for Medical
  Image Segmentation

Self-Adaptive 2D-3D Ensemble of Fully Convolutional Networks for Medical Image Segmentation

26 July 2019
Maria G. Baldeon Calisto
S. Lai-Yuen
ArXivPDFHTML

Papers citing "Self-Adaptive 2D-3D Ensemble of Fully Convolutional Networks for Medical Image Segmentation"

4 / 4 papers shown
Title
TS-ENAS:Two-Stage Evolution for Cell-based Network Architecture Search
TS-ENAS:Two-Stage Evolution for Cell-based Network Architecture Search
Juan Zou
Shenghong Wu
Yizhang Xia
Weiwei Jiang
Zeping Wu
Jinhua Zheng
3DV
15
0
0
14 Oct 2023
SUPER-Net: Trustworthy Medical Image Segmentation with Uncertainty
  Propagation in Encoder-Decoder Networks
SUPER-Net: Trustworthy Medical Image Segmentation with Uncertainty Propagation in Encoder-Decoder Networks
Giuseppina Carannante
Dimah Dera
Nidhal C.Bouaynaya
Hassan M. Fathallah-Shaykh
Ghulam Rasool
UQCV
AAML
OOD
27
6
0
10 Nov 2021
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,326
0
05 Nov 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
435
15,631
0
02 Nov 2015
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