Explainable artificial intelligence for medical imaging systems using deep learning: a comprehensive review

The world recently witnessed strong growth in artificial intelligence (AI) use across various sectors, driven by the digital revolution that began in 2016. Despite this progress, significant concerns persist regarding the black-box nature of AI. Intelligent systems provide decisions without explanat...

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Veröffentlicht in:	Cluster computing Jg. 28; H. 7; S. 469
Hauptverfasser:	Houssein, Essam H., Gamal, Amr M., Younis, Eman M. G., Mohamed, Ebtsam
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.09.2025 Springer Nature B.V
Schlagworte:	Algorithms Artificial intelligence Automation Bioinformatics Black boxes Computer Communication Networks Computer Science Computer vision Decision making Decisions Deep learning Explainable artificial intelligence Image processing Machine learning Medical diagnosis Medical electronics Medical imaging Neural networks Operating Systems Processor Architectures Deep learning Explainable artificial intelligence (XAI) Artificial intelligence (AI) XAI for medical imaging
ISSN:	1386-7857, 1573-7543
Online-Zugang:	Volltext
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