A narrative review on current imaging applications of artificial intelligence and radiomics in oncology: focus on the three most common cancers-Reference-Cited by-同舟云学术

A narrative review on current imaging applications of artificial intelligence and radiomics in oncology: focus on the three most common cancers

Published:2022-06-30 Issue:8 Volume:127 Page:819-836
ISSN:1826-6983
Container-title:La radiologia medica
language:en
Short-container-title:Radiol med

Author:

Vicini Simone^ORCID,Bortolotto Chandra^ORCID,Rengo Marco^ORCID,Ballerini Daniela^ORCID,Bellini Davide^ORCID,Carbone Iacopo^ORCID,Preda Lorenzo^ORCID,Laghi Andrea^ORCID,Coppola Francesca,Faggioni Lorenzo^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s11547-022-01512-6.pdf

Reference84 articles.

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3. Lee JG, Jun S, Cho YW et al (2017) Deep learning in medical imaging: general overview. Korean J Radiol 18:570–584. https://doi.org/10.3348/kjr.2017.18.4.570

4. Kourou K, Exarchos TP, Exarchos KP et al (2015) Machine learning applications in cancer prognosis and prediction. Comput Struct Biotechnol J 13:8–17. https://doi.org/10.1016/j.csbj.2014.11.005

5. Lecun Y, Bengio Y, Hinton G (2015) Deep learning. Nature 521:436–444. https://doi.org/10.1038/nature14539

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