A neural network based framework for effective laparoscopic video quality assessment
- DOI
- 10.1016/j.compmedimag.2022.102121
- Published
- 2022-10
- Container
- Computerized Medical Imaging and Graphics
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.compmedimag.2022.102121,
title = {A neural network based framework for effective laparoscopic video quality assessment},
author = {Zohaib Amjad Khan and Azeddine Beghdadi and Mounir Kaaniche and Faouzi Alaya-Cheikh and Osama Gharbi},
year = {2022},
journal = {Computerized Medical Imaging and Graphics},
doi = {10.1016/j.compmedimag.2022.102121},
url = {https://doi.org/10.1016/j.compmedimag.2022.102121}
}RIS
TY - JOUR TI - A neural network based framework for effective laparoscopic video quality assessment AU - Zohaib Amjad Khan AU - Azeddine Beghdadi AU - Mounir Kaaniche AU - Faouzi Alaya-Cheikh AU - Osama Gharbi PY - 2022 JO - Computerized Medical Imaging and Graphics DO - 10.1016/j.compmedimag.2022.102121 UR - https://doi.org/10.1016/j.compmedimag.2022.102121 ER -
APA
Khan, Z. A., Beghdadi, A., Kaaniche, M., Alaya-Cheikh, F., & Gharbi, O. (2022). A neural network based framework for effective laparoscopic video quality assessment. Computerized Medical Imaging and Graphics. https://doi.org/10.1016/j.compmedimag.2022.102121
Source records
- crossref · retrieved 2026-09-24T23:30:20.884Z