Assessing deep learning methods for the identification of kidney stones in endoscopic images.
- DOI
- 10.1109/embc46164.2021.9630211
- Published
- 2021 Nov
- Container
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/embc46164.2021.9630211,
title = {Assessing deep learning methods for the identification of kidney stones in endoscopic images.},
author = {Lopez F and Varelo A and Hinojosa O and Mendez M and Trinh DH and ElBeze Y and Hubert J and Estrade V and Gonzalez M and Ochoa G and Daul C},
year = {2021},
journal = {Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference},
doi = {10.1109/embc46164.2021.9630211},
url = {https://doi.org/10.1109/embc46164.2021.9630211}
}RIS
TY - JOUR TI - Assessing deep learning methods for the identification of kidney stones in endoscopic images. AU - Lopez F AU - Varelo A AU - Hinojosa O AU - Mendez M AU - Trinh DH AU - ElBeze Y AU - Hubert J AU - Estrade V AU - Gonzalez M AU - Ochoa G AU - Daul C PY - 2021 JO - Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference DO - 10.1109/embc46164.2021.9630211 UR - https://doi.org/10.1109/embc46164.2021.9630211 ER -
APA
F, L., A, V., O, H., M, M., DH, T., Y, E., J, H., V, E., M, G., G, O., & C, D. (2021). Assessing deep learning methods for the identification of kidney stones in endoscopic images.. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. https://doi.org/10.1109/embc46164.2021.9630211
Source records
- pubmed · retrieved 2026-09-26T06:08:14.715Z