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Artificial intelligence in oncology, its scope and future prospects with specific reference to radiation oncology
OBJECTIVE: Artificial intelligence (AI) seems to be bridging the gap between the acquisition of data and its meaningful interpretation. These approaches, have shown outstanding capabilities, outperforming most classification and regression methods to date and the ability to automatically learn the m...
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| Publicado no: | BJR Open |
|---|---|
| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
The British Institute of Radiology.
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7592433/ https://ncbi.nlm.nih.gov/pubmed/33178922 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1259/bjro.20180031 |
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