Crossmark

Deep learning approaches for automated classification and segmentation of head and neck cancers and brain tumors in magnetic resonance images: a meta-analysis study

Crossref DOI link: https://doi.org/10.1007/s11548-021-02326-z

Published Online: 2021-03-05

Published Print: 2021-04

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Badrigilan, Samireh

Nabavi, Shahabedin

Abin, Ahmad Ali

Rostampour, Nima https://orcid.org/0000-0001-8658-8404
Abedi, Iraj

Shirvani, Atefeh

Ebrahimi Moghaddam, Mohsen
Funding

Funding for this research was provided by:

Kermanshah University of Medical Sciences (990688)
License Information

Text and Data Mining valid from 2021-03-05

Version of Record valid from 2021-03-05
More Information

Article History

Received: 9 September 2020

Accepted: 16 February 2021

First Online: 5 March 2021

Declarations

:

: The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Document is current

Any future updates will be listed below