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A multi-path 2.5 dimensional convolutional neural network system for
  segmenting stroke lesions in brain MRI images

A multi-path 2.5 dimensional convolutional neural network system for segmenting stroke lesions in brain MRI images

26 May 2019
Yunzhe Xue
F. Farhat
Olga Boukrina
A. Barrett
J. Binder
Usman Roshan
William W. Graves
    MedIm
ArXivPDFHTML

Papers citing "A multi-path 2.5 dimensional convolutional neural network system for segmenting stroke lesions in brain MRI images"

4 / 4 papers shown
Title
3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced
  Object Sizes
3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes
Ken C. L. Wong
Mehdi Moradi
Hui Tang
Tanveer Syeda-Mahmood
3DV
SSeg
43
190
0
31 Aug 2018
Photo-Realistic Single Image Super-Resolution Using a Generative
  Adversarial Network
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
C. Ledig
Lucas Theis
Ferenc Huszár
Jose Caballero
Andrew Cunningham
...
Andrew P. Aitken
Alykhan Tejani
J. Totz
Zehan Wang
Wenzhe Shi
GAN
236
10,646
0
15 Sep 2016
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain
  Lesion Segmentation
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation
Konstantinos Kamnitsas
C. Ledig
Virginia Newcombe
Joanna P. Simpson
A. D. Kane
David Menon
Daniel Rueckert
Ben Glocker
MedIm
3DV
114
3,049
0
18 Mar 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
311
10,149
0
16 Mar 2016
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