Trustworthy AI in Cancer Imaging Research

The book covers multiple aspects and challenges, from legal to technical and validation, in the emerging topic of AI in cancer imaging, bringing together the experience of top researchers and flagship projects. The aim of this book is to address the important questions: “How to design AI that is tru...

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Searvvušdahkki:	SpringerLink (Online service)
Eará dahkkit:	Chouvarda, Ioanna (Doaimmaheaddji), Colantonio, Sara (Doaimmaheaddji), Tsakou, Gianna (Doaimmaheaddji), Yang, Guang (Doaimmaheaddji)
Materiálatiipa:	Elektrovnnalaš E-girji
Giella:	eaŋgalasgiella
Almmustuhtton:	Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Preanttus:	1st ed. 2025.
Fáttát:	Biomedical engineering. Artificial intelligence. Cancer > Imaging. Machine learning. Cancer. Medical screening. Biomedical Engineering and Bioengineering. Artificial Intelligence. Cancer Imaging. Machine Learning. Cancer Screening.
Liŋkkat:	https://doi.org/10.1007/978-3-031-89963-8
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