Added nuclei filtering to labeled images

[droiva]

No description provided.

[droiva]

@apugalde please review if any other enhancements are needed or if any other bugs are needed to be fixed

[apugalde]

Wouldn't be faster like this? Just a suggestion

# Calculate all areas at once
vals, counts = numpy.unique(inf, return_counts=True)
# Get labels that pass the filter
valstoremove = vals[counts > area_filter_min AND counts < area_filter_max]
# Set all values to zero
inf[numpy.isin(inf, valstoremove)] = 0

[droiva]

Totally true, now changed to use bool mask instead of loop. Did not know about return_counts parameter!