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|a 9783031677519
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|a Chen, Hao
|e [editor]
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|a Trustworthy Artificial Intelligence for Healthcare
|h Elektronische Ressource
|b Second International Workshop, TAI4H 2024, Jeju, South Korea, August 4, 2024, Proceedings
|c edited by Hao Chen, Yuyin Zhou, Daguang Xu, Varut Vince Vardhanabhuti
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|a 1st ed. 2024
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|a Cham
|b Springer Nature Switzerland
|c 2024, 2024
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|a X, 170 p. 59 illus., 51 illus. in color
|b online resource
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|a Image processing / Digital techniques
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|a Computer Imaging, Vision, Pattern Recognition and Graphics
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|a Machine learning
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|a Machine Learning
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|a Computer vision
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|a Zhou, Yuyin
|e [editor]
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|a Xu, Daguang
|e [editor]
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|a Vardhanabhuti, Varut Vince
|e [editor]
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|a eng
|2 ISO 639-2
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|b Springer
|a Springer eBooks 2005-
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|a Lecture Notes in Computer Science
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|a 10.1007/978-3-031-67751-9
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|u https://doi.org/10.1007/978-3-031-67751-9?nosfx=y
|x Verlag
|3 Volltext
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|a 006.31
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|a This book constitutes the proceedings of Second International Workshop on Trustworthy Artificial Intelligence for Healthcare, TAI4H 2024, held in Jeju, South Korea, in August 2024, in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI 2024. The 13 full papers included in this book were carefully reviewed and selected from 21 submissions. They focus on trustworthy artificial intelligence, healthcare, generalization, explainability, fairness, privacy, multi-modal fusion, foundation models.
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