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GAN Augmentation: Augmenting Training Data using Generative Adversarial
  Networks

GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks

25 October 2018
Christopher Bowles
Liang Chen
Ricardo Guerrero
P. Bentley
R. Gunn
A. Hammers
D. A. Dickie
M. V. Valdés Hernández
Joanna M. Wardlaw
Daniel Rueckert
    GAN
    MedIm
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Papers citing "GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks"

6 / 56 papers shown
Title
DCGANs for Realistic Breast Mass Augmentation in X-ray Mammography
DCGANs for Realistic Breast Mass Augmentation in X-ray Mammography
Basel Alyafi
Oliver Díaz
Robert Martí
MedIm
18
25
0
04 Sep 2019
Imbalance Problems in Object Detection: A Review
Imbalance Problems in Object Detection: A Review
Kemal Oksuz
Baris Can Cam
Sinan Kalkan
Emre Akbas
ObjD
30
458
0
31 Aug 2019
AutoML: A Survey of the State-of-the-Art
AutoML: A Survey of the State-of-the-Art
Xin He
Kaiyong Zhao
Xiaowen Chu
48
1,423
0
02 Aug 2019
Semi-Supervised and Task-Driven Data Augmentation
Semi-Supervised and Task-Driven Data Augmentation
K. Chaitanya
Neerav Karani
Christian F. Baumgartner
O. Donati
Anton S. Becker
E. Konukoglu
MedIm
18
142
0
11 Feb 2019
GANsfer Learning: Combining labelled and unlabelled data for GAN based
  data augmentation
GANsfer Learning: Combining labelled and unlabelled data for GAN based data augmentation
Christopher Bowles
R. Gunn
A. Hammers
Daniel Rueckert
GAN
MedIm
37
21
0
26 Nov 2018
Generative Adversarial Network in Medical Imaging: A Review
Generative Adversarial Network in Medical Imaging: A Review
Xin Yi
Ekta Walia
P. Babyn
GAN
MedIm
36
1,373
0
19 Sep 2018
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