Automated lumbar spine segmentation in MRI using an enhanced U-Net with inception module and dual-output mechanism

Jaysel Theresa Silveira, Girisha S., Poornima Panduranga Kundapur

Open source

DOI: 10.1038/s41598-025-20721-3
Published: 2025-11-10
Container: Scientific Reports
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-025-20721-3,
  title = {Automated lumbar spine segmentation in MRI using an enhanced U-Net with inception module and dual-output mechanism},
  author = {Jaysel Theresa Silveira and Girisha S. and Poornima Panduranga Kundapur},
  year = {2025},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-025-20721-3},
  url = {https://doi.org/10.1038/s41598-025-20721-3}
}

RIS

TY  - JOUR
TI  - Automated lumbar spine segmentation in MRI using an enhanced U-Net with inception module and dual-output mechanism
AU  - Jaysel Theresa Silveira
AU  - Girisha S.
AU  - Poornima Panduranga Kundapur
PY  - 2025
JO  - Scientific Reports
DO  - 10.1038/s41598-025-20721-3
UR  - https://doi.org/10.1038/s41598-025-20721-3
ER  -

APA

Silveira, J. T., S., G., & Kundapur, P. P. (2025). Automated lumbar spine segmentation in MRI using an enhanced U-Net with inception module and dual-output mechanism. Scientific Reports. https://doi.org/10.1038/s41598-025-20721-3

Source records

crossref · retrieved 2026-11-10T13:44:11.034Z