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Learning and Exploiting Interclass Visual Correlations for Medical Image
  Classification

Learning and Exploiting Interclass Visual Correlations for Medical Image Classification

13 July 2020
Dong Wei
Shilei Cao
Kai Ma
Yefeng Zheng
ArXivPDFHTML

Papers citing "Learning and Exploiting Interclass Visual Correlations for Medical Image Classification"

5 / 5 papers shown
Title
When Does Label Smoothing Help?
When Does Label Smoothing Help?
Rafael Müller
Simon Kornblith
Geoffrey E. Hinton
UQCV
195
1,950
0
06 Jun 2019
Multi-Label Image Recognition with Graph Convolutional Networks
Multi-Label Image Recognition with Graph Convolutional Networks
Zhao-Min Chen
Xiu-Shen Wei
Peng Wang
Yanwen Guo
95
1,001
0
07 Apr 2019
Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted
  by the International Skin Imaging Collaboration (ISIC)
Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)
Noel Codella
V. Rotemberg
P. Tschandl
M. E. Celebi
Stephen W. Dusza
...
Aadi Kalloo
Konstantinos Liopyris
Michael Marchetti
Harald Kittler
Allan Halpern
104
1,186
0
09 Feb 2019
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
663
10,779
0
19 Feb 2017
Understanding deep learning requires rethinking generalization
Understanding deep learning requires rethinking generalization
Chiyuan Zhang
Samy Bengio
Moritz Hardt
Benjamin Recht
Oriol Vinyals
HAI
339
4,626
0
10 Nov 2016
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