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Deep learning in magnetic resonance prostate segmentation: A review and
  a new perspective

Deep learning in magnetic resonance prostate segmentation: A review and a new perspective

16 November 2020
David Gillespie
Connah Kendrick
I. Boon
C. Boon
T. Rattay
Moi Hoon Yap
ArXivPDFHTML

Papers citing "Deep learning in magnetic resonance prostate segmentation: A review and a new perspective"

29 / 29 papers shown
Title
MS-Net: Multi-Site Network for Improving Prostate Segmentation with
  Heterogeneous MRI Data
MS-Net: Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI Data
Quande Liu
Qi Dou
Lequan Yu
Pheng Ann Heng
OOD
108
281
0
09 Feb 2020
Automatic Prostate Zonal Segmentation Using Fully Convolutional Network
  with Feature Pyramid Attention
Automatic Prostate Zonal Segmentation Using Fully Convolutional Network with Feature Pyramid Attention
Yongkai Liu
Guang Yang
Sohrab Afshari Mirak
M. Hosseiny
A. Azadikhah
Xinran Zhong
R. Reiter
Yeejin Lee
S. Raman
Kyunghyun Sung
34
76
0
31 Oct 2019
Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup
  and Adversarial Domain Adaptation
Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation
E. Panfilov
A. Tiulpin
S. Klein
M. Nieminen
S. Saarakkala
OOD
53
78
0
12 Aug 2019
On the Variance of the Adaptive Learning Rate and Beyond
On the Variance of the Adaptive Learning Rate and Beyond
Liyuan Liu
Haoming Jiang
Pengcheng He
Weizhu Chen
Xiaodong Liu
Jianfeng Gao
Jiawei Han
ODL
215
1,900
0
08 Aug 2019
Lookahead Optimizer: k steps forward, 1 step back
Lookahead Optimizer: k steps forward, 1 step back
Michael Ruogu Zhang
James Lucas
Geoffrey E. Hinton
Jimmy Ba
ODL
114
728
0
19 Jul 2019
Semantic-guided Encoder Feature Learning for Blurry Boundary Delineation
Semantic-guided Encoder Feature Learning for Blurry Boundary Delineation
Dong Nie
Dinggang Shen
MedIm
30
6
0
10 Jun 2019
Scaling and Benchmarking Self-Supervised Visual Representation Learning
Scaling and Benchmarking Self-Supervised Visual Representation Learning
Priya Goyal
D. Mahajan
Abhinav Gupta
Ishan Misra
SSL
54
397
0
03 May 2019
USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for
  prostate zonal segmentation of multi-institutional MRI datasets
USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets
L. Rundo
Changhee Han
Yudai Nagano
Jin Zhang
Ryuichiro Hataya
...
M. Gilardi
Salvatore Vitabile
G. Mauri
Hideki Nakayama
P. Cazzaniga
36
233
0
17 Apr 2019
A large annotated medical image dataset for the development and
  evaluation of segmentation algorithms
A large annotated medical image dataset for the development and evaluation of segmentation algorithms
Amber L. Simpson
Michela Antonelli
Spyridon Bakas
Michel Bilello
Keyvan Farahani
...
M. McHugo
S. Napel
Eugene Vorontsov
Lena Maier-Hein
M. Jorge Cardoso
99
858
0
25 Feb 2019
Boundary-weighted Domain Adaptive Neural Network for Prostate MR Image
  Segmentation
Boundary-weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation
Qikui Zhu
Bo Du
Pingkun Yan
57
158
0
21 Feb 2019
MultiResUNet : Rethinking the U-Net Architecture for Multimodal
  Biomedical Image Segmentation
MultiResUNet : Rethinking the U-Net Architecture for Multimodal Biomedical Image Segmentation
Nabil Ibtehaz
Mohammad Sohel Rahman
SSeg
47
1,624
0
11 Feb 2019
nnU-Net: Self-adapting Framework for U-Net-Based Medical Image
  Segmentation
nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation
Fabian Isensee
Jens Petersen
André Klein
David Zimmerer
Paul F. Jaeger
...
Jakob Wasserthal
Gregor Koehler
T. Norajitra
Sebastian J. Wirkert
Klaus H. Maier-Hein
SSeg
83
783
0
27 Sep 2018
Deep learning to achieve clinically applicable segmentation of head and
  neck anatomy for radiotherapy
Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy
Stanislav Nikolov
Sam Blackwell
Alexei Zverovitch
R. Mendes
Michelle Livne
...
Mustafa Suleyman
T. Back
Ricky A. Sharma
J. Ledsam
Olaf Ronneberger
116
297
0
12 Sep 2018
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
Zongwei Zhou
M. R. Siddiquee
Nima Tajbakhsh
Jianming Liang
SSeg
95
6,106
0
18 Jul 2018
Confounding variables can degrade generalization performance of
  radiological deep learning models
Confounding variables can degrade generalization performance of radiological deep learning models
J. Zech
Marcus A. Badgeley
Manway Liu
A. Costa
J. Titano
Eric K. Oermann
OOD
76
1,173
0
02 Jul 2018
Attention U-Net: Learning Where to Look for the Pancreas
Attention U-Net: Learning Where to Look for the Pancreas
Ozan Oktay
Jo Schlemper
Loic Le Folgoc
M. J. Lee
M. Heinrich
...
Jingyu Sun
Nils Y. Hammerla
Bernhard Kainz
Ben Glocker
Daniel Rueckert
SSeg
145
5,018
0
11 Apr 2018
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net)
  for Medical Image Segmentation
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation
Md. Zahangir Alom
Mahmudul Hasan
C. Yakopcic
T. Taha
V. Asari
SSeg
78
1,015
0
20 Feb 2018
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
264
9,743
0
25 Oct 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
50
725
0
10 May 2017
Deeply-Supervised CNN for Prostate Segmentation
Deeply-Supervised CNN for Prostate Segmentation
Qikui Zhu
Bo Du
Baris Turkbey
Peter L. Choyke
Pingkun Yan
MedIm
45
198
0
22 Mar 2017
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
308
19,612
0
21 Nov 2016
Understanding deep learning requires rethinking generalization
Understanding deep learning requires rethinking generalization
Chiyuan Zhang
Samy Bengio
Moritz Hardt
Benjamin Recht
Oriol Vinyals
HAI
304
4,623
0
10 Nov 2016
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
Özgün Çiçek
Ahmed Abdulkadir
S. Lienkamp
Thomas Brox
Olaf Ronneberger
3DV
3DPC
SSeg
3DH
144
6,516
0
21 Jun 2016
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image
  Segmentation
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
Fausto Milletari
Nassir Navab
Seyed-Ahmad Ahmadi
204
8,660
0
15 Jun 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
493
37,806
0
20 May 2016
Context Encoders: Feature Learning by Inpainting
Context Encoders: Feature Learning by Inpainting
Deepak Pathak
Philipp Krahenbuhl
Jeff Donahue
Trevor Darrell
Alexei A. Efros
SSL
62
5,287
0
25 Apr 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.5K
76,917
0
18 May 2015
Multi-Atlas Segmentation of Biomedical Images: A Survey
Multi-Atlas Segmentation of Biomedical Images: A Survey
Juan Eugenio Iglesias
M. Sabuncu
50
671
0
10 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
1.3K
100,213
0
04 Sep 2014
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