Open AlexInJar opened 1 year ago
The true positive is determined using a matching algorithm. You can take a look at the code to see how its implemented. There's also a section in the methods section of the Mesmer paper that discusses it.
We don't report AUC, but there is a F1, precision, and recall reported as a default. However, the predictions use the same format as most other segmentation algorithms (integer cell id masks), so you could feed them into whatever evaluation code you like to generate additional metrics.
May I ask how is the true positive in cell detection instance calculated in the metric. Is there perhaps a IoU threshold which you have applied that determined whether we have a true positive? Also, may I ask if the deep cell toolbox package supports using the AUC score and other metrics related to instance segmentation?
Thanks