Published August 26, 2023 | Version v1
Dataset Restricted

Training data for Spheroid nucleus for Oneat action classification

Authors/Creators

  • 1. Kapoorlabs

Description

Contains the npz files to train 4D oneat network for classification of spheroid nuclei into Normal, Mitosis and Apoptosis cell types. In conjunction with the BLVKW repository this data contains patches of TZYX (3,8,64,64) that is then used to train the oneat network. Statistics

 

Statistics
Normal Mitosis Apoptosis

7672

1680

 357

 

Aug = Augmentation using Poisson and Gaussian noise and flip XY transformation.

The training data image size = (9709,3,8,64,64,1)

The training data label size = (9709,3,11,1)

Script: https://github.com/kapoorlab/BLVKW/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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