Crossmark

Auto-Segmentation and Classification of Glioma Tumors with the Goals of Treatment Response Assessment Using Deep Learning Based on Magnetic Resonance Imaging

Crossref DOI link: https://doi.org/10.1007/s12021-023-09640-8

Published Online: 2023-07-17

Published Print: 2023-10

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

Authors

Papi, Zahra

Fathi, Sina

Dalvand, Fatemeh

Vali, Mahsa

Yousefi, Ali

Tabatabaei, Mohammad Hemmatyar

Amouheidari, Alireza

Abedi, Iraj
License Information

Text and Data Mining valid from 2023-07-17

Version of Record valid from 2023-07-17
More Information

Article History

Accepted: 26 June 2023

First Online: 17 July 2023

Declarations

:

: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Document is current

Any future updates will be listed below