Terabyte-scale supervised 3D training and benchmarking dataset of the mouse kidney
Abstract The performance of machine learning algorithms, when used for segmenting 3D biomedical images, does not reach the level expected based on results achieved with 2D photos. This may be explained by the comparative lack of high-volume, high-quality training datasets, which require state-of-the...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-08-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-023-02407-5 |