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Adversarial Deep Structural Networks for Mammographic Mass Segmentation

Adversarial Deep Structural Networks for Mammographic Mass Segmentation

18 December 2016
Wentao Zhu
Xiang Xiang
Trac D. Tran
Xiaohui Xie
    MedIm
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Papers citing "Adversarial Deep Structural Networks for Mammographic Mass Segmentation"

12 / 12 papers shown
Title
Unsupversied feature correlation model to predict breast abnormal
  variation maps in longitudinal mammograms
Unsupversied feature correlation model to predict breast abnormal variation maps in longitudinal mammograms
Jun Bai
Annie Jin
Madison Adams
Clifford Yang
S. Nabavi
18
0
0
28 Dec 2023
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
8
71
0
30 Sep 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
MedIm
EGVM
29
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
15
13
0
02 Apr 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
19
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
GAN
MedIm
31
1,371
0
19 Sep 2018
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
GAN
MedIm
27
120
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
32
141
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
124
166
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
19
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
30
287
0
19 Apr 2017
Leak Event Identification in Water Systems Using High Order CRF
Leak Event Identification in Water Systems Using High Order CRF
Qing Han
Wentao Zhu
Yang Shi
9
2
0
12 Mar 2017
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