A lightweight attention-based framework with multi-scale deep supervision and boundary-aware learning for gastrointestinal tract image segmentation
Crossref DOI link: https://doi.org/10.1007/s11760-026-05151-6
Published Online: 2026-02-03
Published Print: 2026-02
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Majid, Abdul
Sharif, Muhammad
Zafar, Mehwish
Text and Data Mining valid from 2026-02-01
Version of Record valid from 2026-02-01
Article History
Received: 10 October 2025
Revised: 9 January 2026
Accepted: 20 January 2026
First Online: 3 February 2026
Declarations
:
: The authors declare no competing interests.