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Adversarial attack on deep learning-based dermatoscopic image recognition systems: Risk of misdiagnosis due to undetectable image perturbations.
Allyn, Jérôme; Allou, Nicolas; Vidal, Charles; Renou, Amélie; Ferdynus, Cyril.
Affiliation
  • Allyn J; Intensive care unit.
  • Allou N; Clinical Informatic Department.
  • Vidal C; Intensive care unit.
  • Renou A; Clinical Informatic Department.
  • Ferdynus C; Intensive care unit.
Medicine (Baltimore) ; 99(50): e23568, 2020 Dec 11.
Article in En | MEDLINE | ID: mdl-33327315
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Skin Diseases / Image Interpretation, Computer-Assisted / Diagnostic Errors / Deep Learning Type of study: Clinical_trials / Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Medicine (Baltimore) Year: 2020 Document type: Article Country of publication: United States
Fulltext
Add to My VHL
Print
XML
PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Skin Diseases / Image Interpretation, Computer-Assisted / Diagnostic Errors / Deep Learning Type of study: Clinical_trials / Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Medicine (Baltimore) Year: 2020 Document type: Article Country of publication: United States