The Effects of Different Levels of Realism on the Training of CNNs with only Synthetic Images for the Semantic Segmentation of Robotic Instruments in a Head Phantom. Heredia-Perez, S. A., Marinho, M. M., Harada, K., & Mitsuishi, M. International Journal of Computer Assisted Radiology and Surgery (IJCARS), 15(8):1257–1265, August, 2020.
Paper
Code
Dataset doi bibtex 42 downloads @Article{herediaperez2020effects,
author = {Heredia-Perez, S. A. and Marinho, M. M. and Harada, K. and Mitsuishi, Mamoru},
title = {The Effects of Different Levels of Realism on the Training of CNNs with only Synthetic Images for the Semantic Segmentation of Robotic Instruments in a Head Phantom},
journal = {International Journal of Computer Assisted Radiology and Surgery (IJCARS)},
year = {2020},
month = aug,
volume = {15},
number = {8},
pages = {1257--1265},
custom_type = {1. Journal Paper},
doi = {10.1007/s11548-020-02185-0},
url = {https://github.com/mmmarinho/mmmarinho.github.io/raw/master/files/papers/ijcars2020.pdf},
url_code = {https://github.com/mmmarinho/levels-of-realism-ijcars2020},
url_dataset = {https://ieee-dataport.org/open-access/synthetic-images-semantic-segmentation-robotic-instruments-head-phantom}
}
Downloads: 42
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