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CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance

CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance

27 July 2018
Andrew Jesson
N. Guizard
Sina Hamidi Ghalehjegh
D. Goblot
F. Soudan
Nicolas Chapados
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Papers citing "CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance"

4 / 4 papers shown
Title
Validation, comparison, and combination of algorithms for automatic
  detection of pulmonary nodules in computed tomography images: the LUNA16
  challenge
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge
A. Setio
A. Traverso
Thomas de Bel
Moira S. N. Berens
C. V. D. Bogaard
...
Jef Vandemeulebroucke
N. Walasek
G. Zuidhof
Bram van Ginneken
Colin Jacobs
84
1,072
0
23 Dec 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
666
37,806
0
20 May 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.7K
76,917
0
18 May 2015
Brain Tumor Segmentation with Deep Neural Networks
Brain Tumor Segmentation with Deep Neural Networks
Mohammad Havaei
Axel Davy
David Warde-Farley
A. Biard
Aaron Courville
Yoshua Bengio
C. Pal
Pierre-Marc Jodoin
Hugo Larochelle
3DV
108
2,875
0
13 May 2015
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