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Improving colonoscopy lesion classification using semi-supervised deep
  learning

Improving colonoscopy lesion classification using semi-supervised deep learning

IEEE Access (IEEE Access), 2020
7 September 2020
M. Golhar
Taylor L. Bobrow
M. Khoshknab
S. Jit
S. Ngamruengphong
Nicholas J. Durr
    SSL
ArXiv (abs)PDFHTML

Papers citing "Improving colonoscopy lesion classification using semi-supervised deep learning"

4 / 4 papers shown
C3VDv2 -- Colonoscopy 3D video dataset with enhanced realism
C3VDv2 -- Colonoscopy 3D video dataset with enhanced realism
M. Golhar
Lucas Sebastian Galeano Fretes
Loren Ayers
V. Akshintala
Taylor L. Bobrow
Nicholas J. Durr
174
4
0
30 Jun 2025
Semi-supervised Bladder Tissue Classification in Multi-Domain Endoscopic
  Images
Semi-supervised Bladder Tissue Classification in Multi-Domain Endoscopic ImagesIEEE Transactions on Biomedical Engineering (IEEE TBME), 2022
Jorge F. Lazo
Benoit Rosa
M. Catellani
M. Fontana
F. Mistretta
G. Musi
O. de Cobelli
M. de Mathelin
Elena De Momi
MedIm
243
13
0
21 Dec 2022
GAN Inversion for Data Augmentation to Improve Colonoscopy Lesion
  Classification
GAN Inversion for Data Augmentation to Improve Colonoscopy Lesion ClassificationIEEE journal of biomedical and health informatics (IEEE JBHI), 2022
M. Golhar
Taylor L. Bobrow
S. Ngamruengphong
Nicholas J. Durr
MedIm
201
15
0
04 May 2022
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCLSSL
1.2K
4,706
0
17 Jun 2020
1
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