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Visualization approach to assess the robustness of neural networks for
  medical image classification

Visualization approach to assess the robustness of neural networks for medical image classification

19 November 2019
Elina Thibeau-Sutre
O. Colliot
Didier Dormont
Ninon Burgos
ArXivPDFHTML

Papers citing "Visualization approach to assess the robustness of neural networks for medical image classification"

4 / 4 papers shown
Title
Towards better Interpretable and Generalizable AD detection using
  Collective Artificial Intelligence
Towards better Interpretable and Generalizable AD detection using Collective Artificial Intelligence
H. Nguyen
Michael Clement
Boris Mansencal
Pierrick Coupé
MedIm
39
6
0
07 Jun 2022
Interpretability of Machine Learning Methods Applied to Neuroimaging
Interpretability of Machine Learning Methods Applied to Neuroimaging
Elina Thibeau-Sutre
S. Collin
Ninon Burgos
O. Colliot
16
4
0
14 Apr 2022
Improving 3D convolutional neural network comprehensibility via
  interactive visualization of relevance maps: Evaluation in Alzheimer's
  disease
Improving 3D convolutional neural network comprehensibility via interactive visualization of relevance maps: Evaluation in Alzheimer's disease
M. Dyrba
Moritz Hanzig
S. Altenstein
Sebastian Bader
Tommaso Ballarini
...
B. Ertl-Wagner
M. Wagner
J. Wiltfang
F. Jessen
S. Teipel
FAtt
MedIm
47
51
0
18 Dec 2020
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
331
10,621
0
19 Feb 2017
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