Training data for Spheroid nucleus for Oneat action classification

Contains the npz files to train 4D oneat network for classification of spheroid nuclei into Normal, Mitosis and Apoptosis cell types. In conjunction with the BLVKW repository this data contains patches of TZYX (3,8,64,64) that is then used to train the oneat network. Statistics Statistics Normal Mitosis Apoptosis 7672 1680 357 Aug = Augmentation using Poisson and Gaussian noise and flip XY transformation. The training data image size = (9709,3,8,64,64,1) The training data label size = (9709,3,11,1) Script: https://github.com/kapoorlab/BLVKW/blob/main/minus_06_create_oneat_patches.py