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Self-supervision for medical image classification: state-of-the-art
  performance with ~100 labeled training samples per class

Self-supervision for medical image classification: state-of-the-art performance with ~100 labeled training samples per class

11 April 2023
M. Nielsen
Laura Wenderoth
T. Sentker
R. Werner
    AI4MH
    OOD
ArXivPDFHTML

Papers citing "Self-supervision for medical image classification: state-of-the-art performance with ~100 labeled training samples per class"

4 / 4 papers shown
Title
Medical supervised masked autoencoders: Crafting a better masking
  strategy and efficient fine-tuning schedule for medical image classification
Medical supervised masked autoencoders: Crafting a better masking strategy and efficient fine-tuning schedule for medical image classification
Jia-ju Mao
Shu-Hua Guo
Yuan Chang
Xuesong Yin
Binling Nie
28
2
0
10 May 2023
A Study of the Generalizability of Self-Supervised Representations
A Study of the Generalizability of Self-Supervised Representations
Atharva Tendle
Mohammad Rashedul Hasan
76
27
0
19 Sep 2021
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
371
5,811
0
29 Apr 2021
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
298
39,238
0
01 Sep 2014
1