Training data for Spheroid nucleus for Oneat action classification

<p>Contains the npz&nbsp;files to train&nbsp;4D oneat network for classification of spheroid nuclei into Normal,&nbsp;Mitosis and Apoptosis cell types. In conjunction with the BLVKW 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>Apoptosis</td> </tr> <tr> <td> <p>7672</p> </td> <td> <p>1680</p> </td> <td>357</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 = (9709,3,8,64,64,1)</p> <p>The training data label size = (9709,3,11,1)</p> <p>Script:&nbsp;https://github.com/kapoorlab/BLVKW/blob/main/minus_06_create_oneat_patches.py</p>