Comparative analysis of machine learning algorithms for computer-assisted reporting based on fully automated cross-lingual RadLex mappings

Computer-assisted reporting (CAR) tools were suggested to improve radiology report quality by context-sensitively recommending key imaging biomarkers. However, studies evaluating machine learning (ML) algorithms on cross-lingual ontological (RadLex) mappings for developing embedded CAR algorithms ar...

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Detalles Bibliográficos
Autores principales: Maros, Máté E., Cho, Chang Gyu, Junge, Andreas G., Kämpgen, Benedikt, Saase, Victor, Siegel, Fabian, Trinkmann, Frederik, Ganslandt, Thomas, Groden, Christoph, Wenz, Holger
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7970897/
https://www.ncbi.nlm.nih.gov/pubmed/33750857
http://dx.doi.org/10.1038/s41598-021-85016-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7970897/
https://www.ncbi.nlm.nih.gov/pubmed/33750857
http://dx.doi.org/10.1038/s41598-021-85016-9

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