Carlos Axel Garcia-Vega, Ricardo Espinosa, Gilberto Ochoa-Ruiz, Thomas Bazin, Luis Falcón-Morales, Dominique Lamarque, Christian Daul. A Novel Hybrid Endoscopic Dataset for Evaluating Machine Learning-Based Photometric Image Enhancement Models. In Obdulia Pichardo-Lagunas, Juan Martínez-Miranda, Bella Martínez-Seis, editors, Advances in Computational Intelligence - 21st Mexican International Conference on Artificial Intelligence, MICAI 2022, Monterrey, Mexico, October 24-29, 2022, Proceedings, Part I. Volume 13612 of Lecture Notes in Computer Science, pages 267-281, Springer, 2022. [doi]
@inproceedings{Garcia-VegaEOBF22,
title = {A Novel Hybrid Endoscopic Dataset for Evaluating Machine Learning-Based Photometric Image Enhancement Models},
author = {Carlos Axel Garcia-Vega and Ricardo Espinosa and Gilberto Ochoa-Ruiz and Thomas Bazin and Luis Falcón-Morales and Dominique Lamarque and Christian Daul},
year = {2022},
doi = {10.1007/978-3-031-19493-1_22},
url = {https://doi.org/10.1007/978-3-031-19493-1_22},
researchr = {https://researchr.org/publication/Garcia-VegaEOBF22},
cites = {0},
citedby = {0},
pages = {267-281},
booktitle = {Advances in Computational Intelligence - 21st Mexican International Conference on Artificial Intelligence, MICAI 2022, Monterrey, Mexico, October 24-29, 2022, Proceedings, Part I},
editor = {Obdulia Pichardo-Lagunas and Juan Martínez-Miranda and Bella Martínez-Seis},
volume = {13612},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-19493-1},
}