Leveraging a realistic synthetic database to learn Shape-from-Shading for estimating the colon depth in colonoscopy images.
- DOI
- 10.1016/j.compmedimag.2024.102390
- Published
- 2024 Jul
- Container
- Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.compmedimag.2024.102390,
title = {Leveraging a realistic synthetic database to learn Shape-from-Shading for estimating the colon depth in colonoscopy images.},
author = {Ruano J and Gómez M and Romero E and Manzanera A},
year = {2024},
journal = {Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society},
doi = {10.1016/j.compmedimag.2024.102390},
url = {https://doi.org/10.1016/j.compmedimag.2024.102390}
}RIS
TY - JOUR TI - Leveraging a realistic synthetic database to learn Shape-from-Shading for estimating the colon depth in colonoscopy images. AU - Ruano J AU - Gómez M AU - Romero E AU - Manzanera A PY - 2024 JO - Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society DO - 10.1016/j.compmedimag.2024.102390 UR - https://doi.org/10.1016/j.compmedimag.2024.102390 ER -
APA
J, R., M, G., E, R., & A, M. (2024). Leveraging a realistic synthetic database to learn Shape-from-Shading for estimating the colon depth in colonoscopy images.. Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society. https://doi.org/10.1016/j.compmedimag.2024.102390
Source records
- pubmed · retrieved 2026-09-25T10:38:33.666Z