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
Autores principales: Rattan, Rajit, Kataria, Tejinder, Banerjee, Susovan, Goyal, Shikha, Gupta, Deepak, Pandita, Akshi, Bisht, Shyam, Narang, Kushal, Mishra, Saumya Ranjan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The British Institute of Radiology. 2019
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7592433/
https://www.ncbi.nlm.nih.gov/pubmed/33178922
http://dx.doi.org/10.1259/bjro.20180031

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7592433/
https://www.ncbi.nlm.nih.gov/pubmed/33178922
http://dx.doi.org/10.1259/bjro.20180031

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