نبذة مختصرة : Model description : Cellpose 3.0.9 was trained on nuclei from 28 2D slices from jrc_mus-kidney. Architecture : Cellpose 3.0.9 Number of parameters : 6600845 Input voxel size (nm) : 128 x 128 x 128 (X, Y, Z) Output voxel size (nm) : 128 x 128 x 128 (X, Y, Z) Classes trained on : Nucleus Training steps : 28000 Epochs : 1000 GPU : NVIDIA TITAN RTX RAM : 251.0 GiB Model wall time (sec) : 542.62 Software : Cellpose 3.0.9 Software DOI : https://doi.org/10.1038/s41592-022-01663-4 Source dataset (EM) ID : jrc_mus-kidney Source dataset (EM) DOI : https://doi.org/10.25378/janelia.16913035 Generated dataset DOI : https://doi.org/10.25378/janelia.26506522 Model URL : https://data.janelia.org/6d93n7 Github repo : https://github.com/janelia-cellmap/cellmap-models Visualization website : https://openorganelle.janelia.org/datasets/jrc_mus-kidney ...
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