Training data for Xenopus nucleus for Oneat action classification

Contains the npz files to train 4D oneat network for classification of xenopus nuclei into Normal and Mitosis cell types. In conjunction with the MTVKW repository this data contains patches of TZYX (3,8,64,64) that is then used to train the oneat network. Statistics Statistics Normal Mitosis Normal(Aug) Mitosis(Aug) 12530 2796 4178+4176 932+932 Aug = Augmentation using Poisson and Gaussian noise and flip XY transformation. The training data image size = (7663,3,8,64,64,1) The training data label size = (7663,3,10,1) Script: https://github.com/kapoorlab/MTVKW/blob/main/minus_06_create_oneat_patches.py