Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence-Reference-Cited by-同舟云学术

Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence

Published:2022-03 Issue: Volume:79 Page:263-278
ISSN:1566-2535
Container-title:Information Fusion
language:en
Short-container-title:Information Fusion

Author:

Holzinger Andreas^ORCID,Dehmer Matthias,Emmert-Streib Frank,Cucchiara Rita,Augenstein Isabelle,Ser Javier Del,Samek Wojciech^ORCID,Jurisica Igor^ORCID,Díaz-Rodríguez Natalia

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Signal Processing,Software

Reference238 articles.

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5. F.J. Martinez-Murcia, A. Ortiz, J. Ramírez, J.M. Górriz, R. Cruz, Deep residual transfer learning for automatic diagnosis and grading of diabetic retinopathy, Neurocomputing.

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