Semi-supervised Medical Image Segmentation via Perturbation-Aware Mutual Learning and Edge-Aware Uncertainty Loss for Accurate Anatomical Delineation
- DOI
- 10.1007/s12539-026-00862-3
- Published
- 2026-07-21
- Container
- Interdisciplinary Sciences: Computational Life Sciences
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s12539-026-00862-3,
title = {Semi-supervised Medical Image Segmentation via Perturbation-Aware Mutual Learning and Edge-Aware Uncertainty Loss for Accurate Anatomical Delineation},
author = {Waqas Anwaar and Van Manh and Wufeng Xue and Dong Ni},
year = {2026},
journal = {Interdisciplinary Sciences: Computational Life Sciences},
doi = {10.1007/s12539-026-00862-3},
url = {https://doi.org/10.1007/s12539-026-00862-3}
}RIS
TY - JOUR TI - Semi-supervised Medical Image Segmentation via Perturbation-Aware Mutual Learning and Edge-Aware Uncertainty Loss for Accurate Anatomical Delineation AU - Waqas Anwaar AU - Van Manh AU - Wufeng Xue AU - Dong Ni PY - 2026 JO - Interdisciplinary Sciences: Computational Life Sciences DO - 10.1007/s12539-026-00862-3 UR - https://doi.org/10.1007/s12539-026-00862-3 ER -
APA
Anwaar, W., Manh, V., Xue, W., & Ni, D. (2026). Semi-supervised Medical Image Segmentation via Perturbation-Aware Mutual Learning and Edge-Aware Uncertainty Loss for Accurate Anatomical Delineation. Interdisciplinary Sciences: Computational Life Sciences. https://doi.org/10.1007/s12539-026-00862-3
Source records
- crossref · retrieved 2026-09-25T03:34:10.129Z