Training data for Xenopus nucleus for Oneat action classification

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