Trustworthy AI in Cancer Imaging Research

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Éditeur :

Springer


Paru le : 2025-07-09

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Description

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 trustworthy”, and “How to validate AI trustworthiness” in the scope of AI for cancer imaging research. The book discusses overall considerations and the generation of a framework; preparing for trustworthy AI, including the data and metadata for quality, transparency and traceability; implementing trustworthy AI with algorithms and Decision Support Systems; and validating trustworthy AI.
Chapters 2 and 3 are available open access under a Creative Commons Attribution 4.0 International License via Springerlink.
This is an ideal resource for researchers from technical and clinical research sites, postgraduate students, and healthcare professionals in cancer imaging and beyond.
Pages
285 pages
Collection
n.c
Parution
2025-07-09
Marque
Springer
EAN papier
9783031899621
EAN PDF
9783031899638

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
28
Taille du fichier
11131 Ko
Prix
210,99 €
EAN EPUB
9783031899638

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
28
Taille du fichier
17091 Ko
Prix
210,99 €

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