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Shifting to Machine Supervision: Annotation-Efficient Semi and
  Self-Supervised Learning for Automatic Medical Image Segmentation and
  Classification

Shifting to Machine Supervision: Annotation-Efficient Semi and Self-Supervised Learning for Automatic Medical Image Segmentation and Classification

17 November 2023
P. Singh
Raviteja Chukkapalli
Shravan Chaudhari
Luoyao Chen
Mei Chen
Jinqian Pan
Craig Smuda
Jacopo Cirrone
ArXivPDFHTML

Papers citing "Shifting to Machine Supervision: Annotation-Efficient Semi and Self-Supervised Learning for Automatic Medical Image Segmentation and Classification"

2 / 2 papers shown
Title
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
368
5,811
0
29 Apr 2021
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
372
75,888
0
18 May 2015
1