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CNN-based Classification Framework for Lung Tissues with Auxiliary
  Information

CNN-based Classification Framework for Lung Tissues with Auxiliary Information

14 June 2022
Huafeng Hu
R. Ye
Jeyarajan Thiyagalingam
Frans Coenen
Jionglong Su
ArXivPDFHTML

Papers citing "CNN-based Classification Framework for Lung Tissues with Auxiliary Information"

13 / 13 papers shown
Title
Deep-COVID: Predicting COVID-19 From Chest X-Ray Images Using Deep
  Transfer Learning
Deep-COVID: Predicting COVID-19 From Chest X-Ray Images Using Deep Transfer Learning
Shervin Minaee
R. Kafieh
Milan Sonka
Shakib Yazdani
G. Soufi
74
830
0
20 Apr 2020
Improving Image Clustering With Multiple Pretrained CNN Feature
  Extractors
Improving Image Clustering With Multiple Pretrained CNN Feature Extractors
Joris Guérin
Byron Boots
34
31
0
20 Jul 2018
Convolutional Neural Networks for Medical Image Analysis: Full Training
  or Fine Tuning?
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
Nima Tajbakhsh
Jae Y. Shin
S. Gurudu
R. T. Hurst
Christopher B. Kendall
Michael B. Gotway
Jianming Liang
224
2,529
0
02 Jun 2017
Holistic Interstitial Lung Disease Detection using Deep Convolutional
  Neural Networks: Multi-label Learning and Unordered Pooling
Holistic Interstitial Lung Disease Detection using Deep Convolutional Neural Networks: Multi-label Learning and Unordered Pooling
Mingchen Gao
Ziyue Xu
Le Lu
Adam P. Harrison
Ronald M. Summers
D. Mollura
38
14
0
19 Jan 2017
Multi-source Transfer Learning with Convolutional Neural Networks for
  Lung Pattern Analysis
Multi-source Transfer Learning with Convolutional Neural Networks for Lung Pattern Analysis
Stergios Christodoulidis
M. Anthimopoulos
L. Ebner
Andreas Christe
Stavroula Mougiakakou
34
133
0
08 Dec 2016
Location Sensitive Deep Convolutional Neural Networks for Segmentation
  of White Matter Hyperintensities
Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities
Mohsen Ghafoorian
N. Karssemeijer
Tom Heskes
I. V. Uden
C. I. Sánchez
G. Litjens
F.‐E. Leeuw
Bram van Ginneken
E. Marchiori
B. Platel
SSeg
58
237
0
16 Oct 2016
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
1.4K
14,559
0
07 Oct 2016
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN
  Architectures, Dataset Characteristics and Transfer Learning
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
Hoo-Chang Shin
H. Roth
Mingchen Gao
Le Lu
Ziyue Xu
Isabella Nogues
Jianhua Yao
D. Mollura
Ronald M. Summers
74
4,604
0
10 Feb 2016
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
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
883
27,373
0
02 Dec 2015
Improving Image Classification with Location Context
Improving Image Classification with Location Context
K. Tang
Manohar Paluri
Li Fei-Fei
Rob Fergus
Lubomir D. Bourdev
SSL
51
122
0
14 May 2015
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
465
43,658
0
17 Sep 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
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