Terabyte-scale supervised 3D training and benchmarking dataset of the mouse kidney

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-art imag...

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Detalles Bibliográficos
Autores principales: Kuo, Willy, Rossinelli, Diego, Schulz, Georg, Wenger, Roland H., Hieber, Simone, Müller, Bert, Kurtcuoglu, Vartan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10400611/
https://www.ncbi.nlm.nih.gov/pubmed/37537174
http://dx.doi.org/10.1038/s41597-023-02407-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10400611/
https://www.ncbi.nlm.nih.gov/pubmed/37537174
http://dx.doi.org/10.1038/s41597-023-02407-5

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