Lean Unet: a compact model for image segmentation

Ture Hassler, Ida Åkerholm, Marcus Nordström, Gabriele Balletti, Orcun Goksel

Open source

DOI: 10.1007/s11548-026-03699-9
Published: 2026-07-02
Container: International Journal of Computer Assisted Radiology and Surgery
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s11548-026-03699-9,
  title = {Lean Unet: a compact model for image segmentation},
  author = {Ture Hassler and Ida Åkerholm and Marcus Nordström and Gabriele Balletti and Orcun Goksel},
  year = {2026},
  journal = {International Journal of Computer Assisted Radiology and Surgery},
  doi = {10.1007/s11548-026-03699-9},
  url = {https://doi.org/10.1007/s11548-026-03699-9}
}

RIS

TY  - JOUR
TI  - Lean Unet: a compact model for image segmentation
AU  - Ture Hassler
AU  - Ida Åkerholm
AU  - Marcus Nordström
AU  - Gabriele Balletti
AU  - Orcun Goksel
PY  - 2026
JO  - International Journal of Computer Assisted Radiology and Surgery
DO  - 10.1007/s11548-026-03699-9
UR  - https://doi.org/10.1007/s11548-026-03699-9
ER  -

APA

Hassler, T., Åkerholm, I., Nordström, M., Balletti, G., & Goksel, O. (2026). Lean Unet: a compact model for image segmentation. International Journal of Computer Assisted Radiology and Surgery. https://doi.org/10.1007/s11548-026-03699-9

Source records

crossref · retrieved 2026-09-25T01:58:19.637Z