Using deep learning to color blood smear images

Hi, i wanted to build a deep learning model to color white blood cells and platelets, without actually staining them. For instance, i input a blood smear image without any colors added, and the model should output the WBCs and platelets colored as if it was stained by hand. What would be the best way to build such a model?


You can start with:

But generally you can adapt and experiment many segmentation models.

E.g. for U-NET style:

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