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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
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 |
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