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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Detalles Bibliográficos
Publicado en:BJR Open
Autores principales: Rattan, Rajit, Kataria, Tejinder, Banerjee, Susovan, Goyal, Shikha, Gupta, Deepak, Pandita, Akshi, Bisht, Shyam, Narang, Kushal, Mishra, Saumya Ranjan
Formato: Artigo
Lenguaje:Inglês
Publicado: The British Institute of Radiology. 2019
Materias:
Review Article
Acceso en línea: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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