Published June 29, 2023
| Version 1.0.0
Dataset
Open
Structure preserving adversarial generation of labeled training samples for single cell segmentation
Authors/Creators
- 1. Biological Research Centre, Szeged
Description
Supplementary package (dataset, generated data and code) for the article: "Structure preserving adversarial generation of labeled training samples for single cell segmentation". (Cell Reports Methods, 2023 - under submission)
Content of the package:
- datasets.zip: the images and annotations for the fallopian tube and salivary gland dataset.
- mask_quality_experiment.zip: the generated masks using SIMCEP and the generated microscopy images using pix2pix using the SIMCEP masks.
- pix2pix_models.zip: the models for fold 0 for both datasets. It can be used to synthesize new images.
- StyleGAN2-ada_models.zip: the models for synthesizing new masks.
- code.zip: a github repository (named .git) for executing the pipeline.
Files
code.zip
Files
(8.8 GB)
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