EndoUFM: Utilizing foundation models for monocular depth estimation of endoscopic images.
- DOI
- 10.1016/j.neunet.2026.109141
- Published
- 2026 Nov
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.109141,
title = {EndoUFM: Utilizing foundation models for monocular depth estimation of endoscopic images.},
author = {Yao X and Liu B and Li B and Wang J and Yue J and Zhou F},
year = {2026},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2026.109141},
url = {https://doi.org/10.1016/j.neunet.2026.109141}
}RIS
TY - JOUR TI - EndoUFM: Utilizing foundation models for monocular depth estimation of endoscopic images. AU - Yao X AU - Liu B AU - Li B AU - Wang J AU - Yue J AU - Zhou F PY - 2026 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2026.109141 UR - https://doi.org/10.1016/j.neunet.2026.109141 ER -
APA
X, Y., B, L., B, L., J, W., J, Y., & F, Z. (2026). EndoUFM: Utilizing foundation models for monocular depth estimation of endoscopic images.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2026.109141
Source records
- pubmed · retrieved 2026-09-25T23:26:42.635Z