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Offset Curves Loss for Imbalanced Problem in Medical Segmentation

Offset Curves Loss for Imbalanced Problem in Medical Segmentation

4 December 2020
Ngan Le
T. Hoang Ngan Le
Kashu Yamazaki
T. Bui
Khoa Luu
Marios Savvides
ArXiv (abs)PDFHTML

Papers citing "Offset Curves Loss for Imbalanced Problem in Medical Segmentation"

11 / 11 papers shown
Title
Deep Reinforcement Learning for Imbalanced Classification
Deep Reinforcement Learning for Imbalanced Classification
Enlu Lin
Qiong Chen
Xiaoming Qi
OffRL
28
178
0
05 Jan 2019
Boundary loss for highly unbalanced segmentation
Boundary loss for highly unbalanced segmentation
H. Kervadec
Jihene Bouchtiba
Christian Desrosiers
Eric Granger
Jose Dolz
Ismail Ben Ayed
49
481
0
17 Dec 2018
Class Rectification Hard Mining for Imbalanced Deep Learning
Class Rectification Hard Mining for Imbalanced Deep Learning
Qi Dong
S. Gong
Xiatian Zhu
59
200
0
08 Dec 2017
The Reversible Residual Network: Backpropagation Without Storing
  Activations
The Reversible Residual Network: Backpropagation Without Storing Activations
Aidan Gomez
Mengye Ren
R. Urtasun
Roger C. Grosse
74
551
0
14 Jul 2017
Generalised Dice overlap as a deep learning loss function for highly
  unbalanced segmentations
Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations
Carole H Sudre
Wenqi Li
Tom Vercauteren
Sébastien Ourselin
M. Jorge Cardoso
SSeg
124
2,149
0
11 Jul 2017
Deep Over-sampling Framework for Classifying Imbalanced Data
Deep Over-sampling Framework for Classifying Imbalanced Data
S. Ando
Chun-Yuan Huang
52
181
0
25 Apr 2017
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
3DV3DPCSSeg3DH
155
6,549
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
229
8,706
0
15 Jun 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOSSSeg
741
37,886
0
20 May 2016
Cost Sensitive Learning of Deep Feature Representations from Imbalanced
  Data
Cost Sensitive Learning of Deep Feature Representations from Imbalanced Data
Salman H. Khan
Munawar Hayat
Bennamoun
Ferdous Sohel
R. Togneri
74
884
0
14 Aug 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.8K
77,341
0
18 May 2015
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