Structure preserving adversarial generation of labeled training samples for single cell segmentation
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资源简介：
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.
创建时间：
2023-07-14
