Automatic segmentation, classification, and prediction of pelvic bone tumors using deep learning techniques
Crossref DOI link: https://doi.org/10.1186/s44147-024-00551-2
Published Online: 2024-11-26
Published Print: 2024-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Shouman, Mona
Rahouma, Kamel Hussein
Hamed, Hesham F. A.
Text and Data Mining valid from 2024-11-26
Version of Record valid from 2024-11-26
Article History
Received: 22 May 2024
Accepted: 13 November 2024
First Online: 26 November 2024
Declarations
:
: The authors declare that they have no competing interests.