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Adversarial Deep Structural Networks for Mammographic Mass Segmentation
v1v2 (latest)

Adversarial Deep Structural Networks for Mammographic Mass Segmentation

18 December 2016
Wentao Zhu
Xiang Xiang
Trac D. Tran
Xiaohui Xie
    MedIm
ArXiv (abs)PDFHTML

Papers citing "Adversarial Deep Structural Networks for Mammographic Mass Segmentation"

16 / 16 papers shown
Title
Generative Adversarial Networks: A Survey Towards Private and Secure
  Applications
Generative Adversarial Networks: A Survey Towards Private and Secure Applications
Zhipeng Cai
Zuobin Xiong
Honghui Xu
Peng-Shuai Wang
Wei Li
Yi-Lun Pan
79
148
0
07 Jun 2021
Deep Learning Based Computer-Aided Systems for Breast Cancer Imaging : A
  Critical Review
Deep Learning Based Computer-Aided Systems for Breast Cancer Imaging : A Critical Review
Yuliana Jiménez-Gaona
María José Rodríguez-Álvarez
Vasudevan Lakshminarayanan
60
71
0
30 Sep 2020
DAWSON: A Domain Adaptive Few Shot Generation Framework
DAWSON: A Domain Adaptive Few Shot Generation Framework
Weixin Liang
Zixuan Liu
Can Liu
65
45
0
02 Jan 2020
Generative Adversarial Networks in Computer Vision: A Survey and
  Taxonomy
Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy
Zhengwei Wang
Qi She
T. Ward
MedImEGVM
220
90
0
04 Jun 2019
Towards annotation-efficient segmentation via image-to-image translation
Towards annotation-efficient segmentation via image-to-image translation
Eugene Vorontsov
Pavlo Molchanov
Christopher Beckham
Jan Kautz
Samuel Kadoury
MedIm
66
15
0
02 Apr 2019
Progressively Growing Generative Adversarial Networks for High
  Resolution Semantic Segmentation of Satellite Images
Progressively Growing Generative Adversarial Networks for High Resolution Semantic Segmentation of Satellite Images
Edward Collier
Kate Duffy
S. Ganguly
G. Madanguit
Subodh Kalia
...
R. Nemani
A. Michaelis
Shuang Li
A. Ganguly
S. Mukhopadhyay
GAN
36
23
0
12 Feb 2019
MAMMO: A Deep Learning Solution for Facilitating Radiologist-Machine
  Collaboration in Breast Cancer Diagnosis
MAMMO: A Deep Learning Solution for Facilitating Radiologist-Machine Collaboration in Breast Cancer Diagnosis
Nesreen Ahmed
Theodore L. Willke
M. Schaar
62
32
0
30 Oct 2018
Generative Adversarial Network in Medical Imaging: A Review
Generative Adversarial Network in Medical Imaging: A Review
Xin Yi
Ekta Walia
P. Babyn
GANMedIm
137
1,405
0
19 Sep 2018
Conditional Generative Adversarial and Convolutional Networks for X-ray
  Breast Mass Segmentation and Shape Classification
Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification
V. Singh
S. Romaní
Hatem A. Rashwan
Farhan Akram
Nidhi Pandey
...
Saddam Abdulwahab
Adel Saleh
Miguel Arquez
M. Arenas
D. Puig
GANMedIm
66
47
0
25 May 2018
A Geometric View of Optimal Transportation and Generative Model
A Geometric View of Optimal Transportation and Generative Model
Na Lei
Kehua Su
Li-min Cui
S. Yau
X. Gu
GANOT
75
134
0
16 Oct 2017
DeepLung: 3D Deep Convolutional Nets for Automated Pulmonary Nodule
  Detection and Classification
DeepLung: 3D Deep Convolutional Nets for Automated Pulmonary Nodule Detection and Classification
Wentao Zhu
Chaochun Liu
Wei Fan
Xiaohui Xie
MedIm
64
66
0
16 Sep 2017
Conditional Adversarial Network for Semantic Segmentation of Brain Tumor
Conditional Adversarial Network for Semantic Segmentation of Brain Tumor
Mina Rezaei
Konstantin Harmuth
Willi Gierke
Thomas Kellermeier
Martin Fischer
Haojin Yang
Christoph Meinel
GANMedIm
71
122
0
17 Aug 2017
A Multi-Scale CNN and Curriculum Learning Strategy for Mammogram
  Classification
A Multi-Scale CNN and Curriculum Learning Strategy for Mammogram Classification
William Lotter
Greg Sorensen
David D. Cox
68
142
0
21 Jul 2017
Deep Semantic Segmentation for Automated Driving: Taxonomy, Roadmap and
  Challenges
Deep Semantic Segmentation for Automated Driving: Taxonomy, Roadmap and Challenges
Mennatullah Siam
Sara Elkerdawy
Martin Jägersand
S. Yogamani
168
167
0
08 Jul 2017
Deep Multi-instance Networks with Sparse Label Assignment for Whole
  Mammogram Classification
Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification
Wentao Zhu
Qi Lou
Y. S. Vang
Xiaohui Xie
99
275
0
23 May 2017
Universal Adversarial Perturbations Against Semantic Image Segmentation
Universal Adversarial Perturbations Against Semantic Image Segmentation
J. H. Metzen
Mummadi Chaithanya Kumar
Thomas Brox
Volker Fischer
AAML
181
289
0
19 Apr 2017
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