Cargando…
Artificial intelligence with deep learning in nuclear medicine and radiology
The use of deep learning in medical imaging has increased rapidly over the past few years, finding applications throughout the entire radiology pipeline, from improved scanner performance to automatic disease detection and diagnosis. These advancements have resulted in a wide variety of deep learnin...
Autores principales: | Decuyper, Milan, Maebe, Jens, Van Holen, Roel, Vandenberghe, Stefaan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8665861/ https://www.ncbi.nlm.nih.gov/pubmed/34897550 http://dx.doi.org/10.1186/s40658-021-00426-y |
Ejemplares similares
-
Editorial: Radiomics and artificial intelligence in radiology and nuclear medicine
por: Annunziata, Salvatore, et al.
Publicado: (2023) -
Explainable artificial intelligence (XAI) in radiology and nuclear medicine: a literature review
por: de Vries, Bart M., et al.
Publicado: (2023) -
Influence of temperature on digital photon counter performance for SPECT
por: Bouckaert, Carmen, et al.
Publicado: (2014) -
Deep learning and artificial intelligence in radiology: Current applications and future directions
por: Yasaka, Koichiro, et al.
Publicado: (2018) -
Artificial intelligence, radiology, precision medicine, and personalized medicine
por: Leite, Claudia da Costa
Publicado: (2019)