ProAttNet: a novel network of prostate segmentation with multi-attention residual U-Net using magnetic resonance images
Crossref DOI link: https://doi.org/10.1007/s00521-026-11899-2
Published Online: 2026-03-23
Published Print: 2026-04
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Nayagam, R. Deiva https://orcid.org/0000-0003-0067-7567
Selvathi, D.
Shalini, S.
Text and Data Mining valid from 2026-03-23
Version of Record valid from 2026-03-23
Article History
Received: 14 October 2024
Accepted: 15 January 2026
First Online: 23 March 2026
Declarations
:
: The authors declare no conflicts of interest in preparing this article.