Artificial labeling models

Artificial labeling deep learning models

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The models were trained using ZeroCostDL4Mic Pix2pix Notebooks.

Model Name	Performance	Purpose and Associated Figure	Training Dataset Link
pix2pix_HUVEC_nuclei_cancer_cells_dataset	SSIM = 0.755 lpips = 0.120	This model was used in Fig. 4 to artificially label nulcei from BF images with cancer and endothelial cells.	Link
pix2pix_HUVEC_nuclei_immuno_cells_dataset	SSIM = 0.756 lpips = 0.130	This model was used in Fig. 4 to artificially label nulcei from BF images with immuno and endothelial cells.	Link
pix2pix_HUVEC_juctions_dataset	SSIM = 0.270 lpips = 0.360	This model was used in Fig. 4 to artificially label cell-cell juctions from BF images with immuno or cancer and endothelial cells.	Link