IMAU-Net: A Hybrid Multi-Scale Deep Learning Framework for Liver Segmentation from Laparoscopic Images.

Waseem SS, Shaikh S, Hassan SR

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DOI: 10.3390/s26092695
Published: 2026 Apr 27
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s26092695,
  title = {IMAU-Net: A Hybrid Multi-Scale Deep Learning Framework for Liver Segmentation from Laparoscopic Images.},
  author = {Waseem SS and Shaikh S and Hassan SR},
  year = {2026},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s26092695},
  url = {https://doi.org/10.3390/s26092695}
}

RIS

TY  - JOUR
TI  - IMAU-Net: A Hybrid Multi-Scale Deep Learning Framework for Liver Segmentation from Laparoscopic Images.
AU  - Waseem SS
AU  - Shaikh S
AU  - Hassan SR
PY  - 2026
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s26092695
UR  - https://doi.org/10.3390/s26092695
ER  -

APA

SS, W., S, S., & SR, H. (2026). IMAU-Net: A Hybrid Multi-Scale Deep Learning Framework for Liver Segmentation from Laparoscopic Images.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26092695

Source records

pubmed · retrieved 2026-09-25T05:40:13.252Z
europe-pmc · retrieved 2026-09-25T05:40:13.267Z
doaj · retrieved 2026-09-25T05:40:13.249Z