Open ClementCaporal opened 1 year ago
If it's useful, I can also add to the PR :
manage image anisotropy similar to : https://haesleinhuepf.github.io/BioImageAnalysisNotebooks/19_spatial_transforms/scaling.html (plus it seems to me that the anisotropy is already relatively corrected in the recorded image)
Show the evolution of the F1 score depending on the threshold
propose a function that handles ambiguous cases using the greedy assignment or Hungarian assignment algorithm shown in figure DG9.1 (https://arxiv.org/abs/2206.01653) that are, if I understood correctly, preferred to validate center point detection?
replace the term "spot" with "center point" to match the naming from: https://arxiv.org/abs/2206.01653
What do you think?
Partially? close https://github.com/haesleinhuepf/BioImageAnalysisNotebooks/issues/27
Hello,
I hope you are going well.
This PR proposes to update :
compute_true_positives
cle.maximum_y_projection
tocle.sum_y_projection
to correctly count ambiguous_matchesdistance_matrix
shapeThank you,
Clément