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A machine and human reader study on AI diagnosis model safety under attacks of adversarial images.
Zhou, Qianwei; Zuley, Margarita; Guo, Yuan; Yang, Lu; Nair, Bronwyn; Vargo, Adrienne; Ghannam, Suzanne; Arefan, Dooman; Wu, Shandong.
Afiliação
  • Zhou Q; Department of Radiology, University of Pittsburgh, Pittsburgh, PA, 15213, USA.
  • Zuley M; College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, 310023, China.
  • Guo Y; Key Laboratory of Visual Media Intelligent Processing Technology of Zhejiang Province, Hangzhou, 310023, China.
  • Yang L; Department of Radiology, University of Pittsburgh, Pittsburgh, PA, 15213, USA.
  • Nair B; Magee-Womens Hospital, University of Pittsburgh Medical Center, Pittsburgh, PA, 15213, USA.
  • Vargo A; Department of Radiology, University of Pittsburgh, Pittsburgh, PA, 15213, USA.
  • Ghannam S; Department of Radiology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, 510180, China.
  • Arefan D; Department of Radiology, University of Pittsburgh, Pittsburgh, PA, 15213, USA.
  • Wu S; Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing, 400030, China.
Nat Commun ; 12(1): 7281, 2021 12 14.
Article em En | MEDLINE | ID: mdl-34907229
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Diagnóstico por Computador / Radiologistas Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Diagnóstico por Computador / Radiologistas Idioma: En Ano de publicação: 2021 Tipo de documento: Article