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Adversarial Attack Driven Data Augmentation for Accurate And Robust
  Medical Image Segmentation

Adversarial Attack Driven Data Augmentation for Accurate And Robust Medical Image Segmentation

25 May 2021
Mst. Tasnim Pervin
Li Tao
A. Huq
Zuoxiang He
Li Huo
    AAML
    OOD
    MedIm
ArXivPDFHTML

Papers citing "Adversarial Attack Driven Data Augmentation for Accurate And Robust Medical Image Segmentation"

4 / 4 papers shown
Title
Improving Feature Stability during Upsampling -- Spectral Artifacts and
  the Importance of Spatial Context
Improving Feature Stability during Upsampling -- Spectral Artifacts and the Importance of Spatial Context
Shashank Agnihotri
Julia Grabinski
M. Keuper
30
6
0
29 Nov 2023
Adversarial Attack and Defense for Medical Image Analysis: Methods and
  Applications
Adversarial Attack and Defense for Medical Image Analysis: Methods and Applications
Junhao Dong
Junxi Chen
Xiaohua Xie
Jianhuang Lai
H. Chen
AAML
MedIm
35
16
0
24 Mar 2023
Robust deep learning-based semantic organ segmentation in hyperspectral
  images
Robust deep learning-based semantic organ segmentation in hyperspectral images
Silvia Seidlitz
Jiansheng Fang
Jan Odenthal
Berkin Özdemir
Huazhu Fu
...
Jiang-Dong Liu
Martin Wagner
Felix Nickel
Beat P. Müller-Stich
Lena Maier-Hein
40
9
0
09 Nov 2021
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
340
10,633
0
19 Feb 2017
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