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DEAttack: A differential evolution based attack method for the robustness evaluation of medical image segmentation

  • Published:2021-11 Issue: Volume:465 Page:38-52
  • ISSN:0925-2312
  • Container-title:Neurocomputing
  • language:en
  • Short-container-title:Neurocomputing

Author:

Cui Xiangxiang,Chang Shi,Li Chen,Kong Bin,Tian Lihua,Wang Hongqiang,Huang Peng,Yang Meng,Wu Yenan,Li Zhongyu

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference34 articles.

1. Dermatologist-level classification of skin cancer with deep neural networks;Esteva;Nature,2017

2. Deeporgan: Multi-level deep convolutional networks for automated pancreas segmentation;Roth,2015

3. Deep learning for automated contouring of primary tumor volumes by mri for nasopharyngeal carcinoma;Lin;Radiology,2019

4. Machine learning security: Threats, countermeasures, and evaluations;Xue;IEEE Access,2020

5. Adversarial attacks on medical machine learning;Finlayson;Science,2019

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