Applications and challenges of artificial intelligence in diagnostic and interventional radiology

PURPOSE: Machine learning (ML) and deep learning (DL) can be utilized in radiology to help diagnosis and for predicting management and outcomes based on certain image findings. DL utilizes convolutional neural networks (CNN) and may be used to classify imaging features. The objective of this literat...

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Detalles Bibliográficos
Autores principales: Waller, Joseph, O’Connor, Aisling, Raafat, Eleeza, Amireh, Ahmad, Dempsey, John, Martin, Clarissa, Umair, Muhammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Termedia Publishing House 2022
Materias:
Review Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8906183/
https://www.ncbi.nlm.nih.gov/pubmed/35280945
http://dx.doi.org/10.5114/pjr.2022.113531

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8906183/
https://www.ncbi.nlm.nih.gov/pubmed/35280945
http://dx.doi.org/10.5114/pjr.2022.113531

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