I have images in co-culture setting(2 different classes). I have built a pipeline to identify and separate the cells based on standard intensity features.
I have also analyzed the results in CPA (as CP results showed under segmentation) and I’m getting an accuracy of 0.84 I don’t have annotated images (manually labelled ground truth) as there are over 3000 cells per image so it doesn’t seem feasible.
I would like to improve my results. Any suggestions to improve my pipeline(attached) would be helpful.
Thanks in advance!
ImprovedPipeline_final.cpproj (150.3 KB)