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COIN: Counterfactual inpainting for weakly supervised semantic
  segmentation for medical images

COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical images

19 April 2024
Dmytro Shvetsov
Joonas Ariva
M. Domnich
Raul Vicente
Dmytro Fishman
    MedIm
ArXivPDFHTML

Papers citing "COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical images"

3 / 3 papers shown
Title
Explaining the Black-box Smoothly- A Counterfactual Approach
Explaining the Black-box Smoothly- A Counterfactual Approach
Junyu Chen
Yong Du
Yufan He
W. Paul Segars
Ye Li
MedIm
FAtt
60
83
0
11 Jan 2021
Learning Pixel-level Semantic Affinity with Image-level Supervision for
  Weakly Supervised Semantic Segmentation
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation
Jiwoon Ahn
Suha Kwak
211
739
0
28 Mar 2018
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
229
74,467
0
18 May 2015
1