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Joint Weakly and Semi-Supervised Deep Learning for Localization and
  Classification of Masses in Breast Ultrasound Images

Joint Weakly and Semi-Supervised Deep Learning for Localization and Classification of Masses in Breast Ultrasound Images

10 October 2017
Seung Yeon Shin
Soochahn Lee
I. Yun
Sun Mi Kim
Kyoung Mu Lee
ArXivPDFHTML

Papers citing "Joint Weakly and Semi-Supervised Deep Learning for Localization and Classification of Masses in Breast Ultrasound Images"

11 / 11 papers shown
Title
Iterative Multi-domain Regularized Deep Learning for Anatomical
  Structure Detection and Segmentation from Ultrasound Images
Iterative Multi-domain Regularized Deep Learning for Anatomical Structure Detection and Segmentation from Ultrasound Images
Hao Chen
Yefeng Zheng
Jin-Hyeong Park
Pheng-Ann Heng
S. Kevin Zhou
67
104
0
07 Jul 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
741
37,862
0
20 May 2016
Learning Deep Features for Discriminative Localization
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSL
SSeg
FAtt
250
9,319
0
14 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
Hand Pose Estimation through Semi-Supervised and Weakly-Supervised
  Learning
Hand Pose Estimation through Semi-Supervised and Weakly-Supervised Learning
Natalia Neverova
Christian Wolf
Florian Nebout
Graham W. Taylor
MDE
3DH
50
48
0
20 Nov 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
520
62,294
0
04 Jun 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
306
25,059
0
30 Apr 2015
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image
  Segmentation
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation
George Papandreou
Liang-Chieh Chen
Kevin Patrick Murphy
Alan Yuille
SSeg
103
918
0
09 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,115
0
22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.6K
100,386
0
04 Sep 2014
Weakly-supervised Discovery of Visual Pattern Configurations
Weakly-supervised Discovery of Visual Pattern Configurations
Hyun Oh Song
Yong Jae Lee
Stefanie Jegelka
Trevor Darrell
WSOD
55
165
0
25 Jun 2014
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