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Learning to Segment Medical Images with Scribble-Supervision Alone

Learning to Segment Medical Images with Scribble-Supervision Alone

12 July 2018
Y. Can
K. Chaitanya
Basil Mustafa
Lisa M. Koch
E. Konukoglu
Christian F. Baumgartner
ArXivPDFHTML

Papers citing "Learning to Segment Medical Images with Scribble-Supervision Alone"

10 / 10 papers shown
Title
LNQ 2023 challenge: Benchmark of weakly-supervised techniques for mediastinal lymph node quantification
LNQ 2023 challenge: Benchmark of weakly-supervised techniques for mediastinal lymph node quantification
Reuben Dorent
Roya Khajavi
Tagwa Idris
Erik Ziegler
B. Somarouthu
...
Minghui Zhang
Steve Pieper
Gordon Harris
Ron Kikinis
Tina Kapur
84
5
0
19 Aug 2024
How to Efficiently Annotate Images for Best-Performing Deep Learning Based Segmentation Models: An Empirical Study with Weak and Noisy Annotations and Segment Anything Model
How to Efficiently Annotate Images for Best-Performing Deep Learning Based Segmentation Models: An Empirical Study with Weak and Noisy Annotations and Segment Anything Model
Yixin Zhang
Shen Zhao
Han Gu
Maciej A. Mazurowski
VLM
93
4
0
17 Dec 2023
An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR
  Image Segmentation
An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR Image Segmentation
Christian F. Baumgartner
Lisa M. Koch
Marc Pollefeys
E. Konukoglu
58
246
0
13 Sep 2017
DeepCut: Object Segmentation from Bounding Box Annotations using
  Convolutional Neural Networks
DeepCut: Object Segmentation from Bounding Box Annotations using Convolutional Neural Networks
Martin Rajchl
M. J. Lee
Ozan Oktay
Konstantinos Kamnitsas
Jonathan Passerat-Palmbach
...
Mellisa Damodaram
Mary A. Rutherford
Joseph V. Hajnal
Bernhard Kainz
Daniel Rueckert
60
377
0
25 May 2016
ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic
  Segmentation
ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation
Di Lin
Jifeng Dai
Jiaya Jia
Kaiming He
Jian Sun
SSeg
121
1,007
0
18 Apr 2016
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder
  Architectures for Scene Understanding
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding
Alex Kendall
Vijay Badrinarayanan
R. Cipolla
UQCV
BDL
89
1,065
0
09 Nov 2015
BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks
  for Semantic Segmentation
BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation
Jifeng Dai
Kaiming He
Jian Sun
188
1,045
0
05 Mar 2015
Conditional Random Fields as Recurrent Neural Networks
Conditional Random Fields as Recurrent Neural Networks
Shuai Zheng
Sadeep Jayasumana
Bernardino Romera-Paredes
Vibhav Vineet
Zhizhong Su
Dalong Du
Chang Huang
Philip Torr
SSeg
241
2,536
0
11 Feb 2015
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image
  Segmentation
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation
George Papandreou
Liang-Chieh Chen
Kevin Patrick Murphy
Alan Yuille
SSeg
103
918
0
09 Feb 2015
Efficient Inference in Fully Connected CRFs with Gaussian Edge
  Potentials
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
Philipp Krahenbuhl
V. Koltun
132
3,452
0
20 Oct 2012
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