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Authors
Oliver N. f. King (0000-0002-6152-7207), Dimitrios Bellos (0000-0002-8015-3191), Mark Basham (0000-0002-8438-1415)
Citation
King et al., (2022). Volume Segmantics: A Python Package for Semantic Segmentation of Volumetric Data Using Pre-trained PyTorch Deep Learning Models. Journal of Open Source Software, 7(78), 4691, https://doi.org/10.21105/joss.04691
@article{King2022,
doi = {10.21105/joss.04691},
url = {https://doi.org/10.21105/joss.04691},
year = {2022},
publisher = {The Open Journal},
volume = {7},
number = {78},
pages = {4691},
author = {Oliver N. f. King and Dimitrios Bellos and Mark Basham},
title = {Volume Segmantics: A Python Package for Semantic Segmentation of Volumetric Data Using Pre-trained PyTorch Deep Learning
Models},
journal = {Journal of Open Source Software}
}
Tags
segmentation deep learning volumetric images pre-trained
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This work is licensed under a Creative Commons Attribution 4.0 International License.
