Published August 16, 2023 | Version 0.0.1
Dataset Restricted

Training data for Xenopus nucleus for Oneat action classification

Authors/Creators

  • 1. Kapoorlabs, University of Copenhagen

Description

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

Notes

Computational support provided by Jean Zay dynamic access grants : AD011013724R1, AD011013695R1, AD011013695R1, AD011013396R1, AD011013396R1

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