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Neural Network-Based Automatic Liver Tumor Segmentation With Random
  Forest-Based Candidate Filtering

Neural Network-Based Automatic Liver Tumor Segmentation With Random Forest-Based Candidate Filtering

2 June 2017
G. Chlebus
H. Meine
J. Moltz
A. Schenk
    MedIm
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Papers citing "Neural Network-Based Automatic Liver Tumor Segmentation With Random Forest-Based Candidate Filtering"

2 / 2 papers shown
Title
Understanding the Effective Receptive Field in Deep Convolutional Neural
  Networks
Understanding the Effective Receptive Field in Deep Convolutional Neural Networks
Wenjie Luo
Yujia Li
R. Urtasun
R. Zemel
HAI
92
1,796
0
15 Jan 2017
Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully
  Convolutional Neural Networks and 3D Conditional Random Fields
Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields
P. Christ
M. Elshaer
Florian Ettlinger
S. Tatavarty
Marc Bickel
...
Felix O. Hofmann
M. D’Anastasi
Wieland H. Sommer
Seyed-Ahmad Ahmadi
Bjoern Menze
MedIm
55
633
0
07 Oct 2016
1