Training data for Xenopus nucleus for Oneat action classification

The tar file contains the raw, seg and csv file to create training patches for 4D oneat network for classification of xenopus nuclei into Normal and Mitosis cell types. In conjunction with the MTVKW repository this data can be used to generate training patches for a chosen size in TZYX (3,8,64,64) that is then used to train the oneat network. Using this dataset we generated 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