Synthetic Images for the Semantic Segmentation of Robotic Instruments in a Head Phantom
- Citation Author(s):
-
Saul Alexis Heredia Perez
(The University of Tokyo)
Murilo Marques Marinho
(The University of Tokyo)
Kanako Harada (The University of Tokyo)Mamoru Mitsuishi (The University of Tokyo) - Submitted by:
- Murilo Marinho
- Last updated:
- DOI:
- 10.21227/xmc2-1v59
- Links:
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Abstract
This dataset was used and described in detail in the following publication. 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.; and Mitsuishi, M. International Journal of Computer Assisted Radiology and Surgery (IJCARS). 2020. https://doi.org/10.1007/s11548-020-02185-0
Instructions:
Refer to https://github.com/mmmarinho/levels-of-realism-ijcars2020 for detailed instructions.
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