I noticed something in QuPath m9.
I trained a classifier on my data (I created a combined training image with various annotations on my images, I set the stain vectors, I detected the cells and then I used the counting tool to label cells from different classes until I’m happy with the “train object classifier”). I then saved and apply.
Then I copied the .json classifier in another project with the same images. I applied the same preprocessing steps (I used the same script) and applied the classifier to the whole image. But classifications are different from my training project to my “whole image” project : most of the cell classification are the same, but a few are different.
Did I missed to copy something else in my “whole image” project ?