Cargando…
Biomedical Ontologies to Guide AI Development in Radiology
The advent of deep learning has engendered renewed and rapidly growing interest in artificial intelligence (AI) in radiology to analyze images, manipulate textual reports, and plan interventions. Applications of deep learning and other AI approaches must be guided by sound medical knowledge to assur...
Autores principales: | Filice, Ross W., Kahn, Charles E. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8669056/ https://www.ncbi.nlm.nih.gov/pubmed/34724143 http://dx.doi.org/10.1007/s10278-021-00527-1 |
Ejemplares similares
-
Ontology Development Kit: a toolkit for building, maintaining and standardizing biomedical ontologies
por: Matentzoglu, Nicolas, et al.
Publicado: (2022) -
The Ontology for Biomedical Investigations
por: Bandrowski, Anita, et al.
Publicado: (2016) -
Biomedical imaging ontologies: A survey and proposal for future work
por: Smith, Barry, et al.
Publicado: (2015) -
Relations in biomedical ontologies
por: Smith, Barry, et al.
Publicado: (2005) -
Mechanisms in biomedical ontology
por: Röhl, Johannes
Publicado: (2012)