Mohamed Attia, Mohammed Hossny, Saeid Nahavandi, Hamed Asadi. Surgical tool segmentation using a hybrid deep CNN-RNN auto encoder-decoder. In 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017, Banff, AB, Canada, October 5-8, 2017. pages 3373-3378, IEEE, 2017. [doi]
@inproceedings{AttiaHNA17,
title = {Surgical tool segmentation using a hybrid deep CNN-RNN auto encoder-decoder},
author = {Mohamed Attia and Mohammed Hossny and Saeid Nahavandi and Hamed Asadi},
year = {2017},
doi = {10.1109/SMC.2017.8123151},
url = {https://doi.org/10.1109/SMC.2017.8123151},
researchr = {https://researchr.org/publication/AttiaHNA17},
cites = {0},
citedby = {0},
pages = {3373-3378},
booktitle = {2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017, Banff, AB, Canada, October 5-8, 2017},
publisher = {IEEE},
isbn = {978-1-5386-1645-1},
}