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A Comparative Study of U-Net Topologies for Background Removal in
  Histopathology Images

A Comparative Study of U-Net Topologies for Background Removal in Histopathology Images

8 June 2020
Abtin Riasatian
Maral Rasoolijaberi
Morteza Babaie
H. R. Tizhoosh
ArXivPDFHTML

Papers citing "A Comparative Study of U-Net Topologies for Background Removal in Histopathology Images"

12 / 12 papers shown
Title
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DV
MedIm
133
18,106
0
28 May 2019
Deep Features for Tissue-Fold Detection in Histopathology Images
Deep Features for Tissue-Fold Detection in Histopathology Images
Morteza Babaie
H. R. Tizhoosh
24
24
0
17 Mar 2019
Deep Barcodes for Fast Retrieval of Histopathology Scans
Deep Barcodes for Fast Retrieval of Histopathology Scans
M. Kumar
Morteza Babaie
Hamid Tizhoosh
MedIm
39
27
0
30 Apr 2018
Classification and Retrieval of Digital Pathology Scans: A New Dataset
Classification and Retrieval of Digital Pathology Scans: A New Dataset
Morteza Babaie
Shivam Kalra
A. Sriram
Christopher Mitcheltree
Shujin Zhu
Seyed Amin Khatami
Shahryar Rahnamayan
H. R. Tizhoosh
50
50
0
22 May 2017
Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully
  Convolutional Networks
Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks
Hao Dong
Guang Yang
Fangde Liu
Yuanhan Mo
Yike Guo
56
726
0
10 May 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.1K
20,832
0
17 Apr 2017
Comparison of Different Methods for Tissue Segmentation in
  Histopathological Whole-Slide Images
Comparison of Different Methods for Tissue Segmentation in Histopathological Whole-Slide Images
Péter Bándi
Rob van de Loo
M. Intezar
D. Geijs
F. Ciompi
Bram van Ginneken
Jeroen van der Laak
G. Litjens
39
42
0
17 Mar 2017
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
758
36,781
0
25 Aug 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,814
0
10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.8K
77,099
0
18 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.7K
150,006
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
100,330
0
04 Sep 2014
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