Algorithm success rate on manually labeled dataset
| Success rate (%) | Precision (%) | Recall (%) | |
|---|---|---|---|
| ABLE | 67.5 | 67.5 | 67.5 |
| CNMF | 63.4 | 60.7 | 66.5 |
| Suite2p | 63.7 | 56.5 | 73.1 |
On a manually labeled dataset from the Neurofinder Challenge, we compare the performance of three segmentation algorithms: ABLE, CNMF (Pnevmatikakis et al., 2016), and Suite2p (Pachitariu et al., 2016), using the manual labels as ground truth.