Interpretable artificial intelligence in radiology and radiation oncology

Artificial intelligence has been introduced to clinical practice, especially radiology and radiation oncology, from image segmentation, diagnosis, treatment planning and prognosis. It is not only crucial to have an accurate artificial intelligence model, but also to understand the internal logic and...

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Detalles Bibliográficos
Autores principales: Cui, Sunan, Traverso, Alberto, Niraula, Dipesh, Zou, Jiaren, Luo, Yi, Owen, Dawn, El Naqa, Issam, Wei, Lise
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The British Institute of Radiology. 2023
Materias:
AI in imaging and therapy: innovations, ethics, and impact: Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10546466/
https://www.ncbi.nlm.nih.gov/pubmed/37493248
http://dx.doi.org/10.1259/bjr.20230142

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10546466/
https://www.ncbi.nlm.nih.gov/pubmed/37493248
http://dx.doi.org/10.1259/bjr.20230142

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