Leaderboard Neuron Segmentation
Results for the neuron segmentation category, averaged over all samples.
Group | Submission | CREMI score | VOI split | VOI merge | ARAND |
---|---|---|---|---|---|
DIVE | seg7 | 0.717 | 1.398 | 0.232 | 0.324 |
PCH | ori_x0 | 0.661 | 1.409 | 0.204 | 0.272 |
DIVE | seg5 | 0.730 | 1.423 | 0.243 | 0.328 |
DIVE | unet1 | 1.001 | 1.436 | 0.861 | 0.443 |
DIVE | unet-1 | 1.001 | 1.436 | 0.861 | 0.443 |
DIVE | seg2 | 0.735 | 1.438 | 0.239 | 0.330 |
VIDAR | mala_py | 0.696 | 1.446 | 0.153 | 0.307 |
DIVE | unet3 | 0.994 | 1.451 | 0.831 | 0.441 |
DIVE | unet-3 | 0.994 | 1.451 | 0.831 | 0.441 |
DIVE | seg1 | 0.745 | 1.461 | 0.242 | 0.333 |
DIVE | newSeg | 0.752 | 1.471 | 0.252 | 0.335 |
DIVE | pi-net | 0.728 | 1.480 | 0.270 | 0.305 |
DIVE | unet2 | 0.972 | 1.481 | 0.803 | 0.419 |
DIVE | unet-2 | 0.972 | 1.481 | 0.803 | 0.419 |
DIVE | ag35-5 | 0.793 | 1.491 | 0.296 | 0.358 |
DIVE | CRunet22 | 0.746 | 1.522 | 0.438 | 0.298 |
DIVE | unet4 | 0.987 | 1.523 | 0.775 | 0.429 |
DIVE | unet-4 | 0.987 | 1.523 | 0.775 | 0.429 |
Cvlab | cvlab_2 | 2.756 | 1.526 | 6.411 | 0.957 |
DIVE | seg0316 | 0.775 | 1.536 | 0.327 | 0.331 |
DIVE | seg4 | 0.791 | 1.565 | 0.347 | 0.340 |
DIVE | seg018 | 0.787 | 1.567 | 0.325 | 0.336 |
DIVE | seg030 | 0.793 | 1.584 | 0.328 | 0.337 |
DIVE | seg3 | 0.798 | 1.587 | 0.351 | 0.341 |
Rhoana | Test1 | 1.162 | 1.646 | 1.179 | 0.486 |
Legend
- CREMI score
- The geometric mean of (VOI split + VOI merge) and ARAND.
- VOI split and merge
- The Variation of Information between a segmentation X and ground truth Y. The split and merge parts correspond to the conditional entropies H(X|Y) and H(Y|X), respectively.
- ARAND
- The Adapted Rand Error, i.e., 1.0 - Rand F-Score.
For each value, lower is better.
Leaderboard Synaptic Cleft Detection
Results for the synaptic cleft detection category, averaged over all samples.
Group | Submission | CREMI score | FP | FN | 1 - F-score | ADGT | ADF |
---|---|---|---|---|---|---|---|
VCG | FgDT08 | 795.59 | 727.0 | 616222.3 | 0.834 | 60.07 | 1531.10 |
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Legend
- CREMI score
- The mean of ADGT and ADF. We are not including the F-Score for now, as our current way of computing it can lead to unfair comparison. We are working on a more robust measure and will update the results accordingly.
- FP, FN, and F-Score
- The False Positives, False Negatives, and the resulting F-Score in the clefts detection volume. See metrics for details.
- ADGT
- The average distance of any found cleft voxel to the closest ground truth cleft voxel.
- ADF
- The average distance of any ground truth cleft voxel to the closest found cleft voxel.
For each value, lower is better (F-Score shown as 1 - F-Score).
Leaderboard Synaptic Partner Identification
Results for the synaptic partner identification category, averaged over all samples.
Group | Submission | CREMI score | FP | FN |
---|---|---|---|---|
PNI | asyn_mod | 0.423 | 367.667 | 262.333 |
PNI | asyn_ori | 0.493 | 310.000 | 302.333 |
PNI | asyn_at0 | 0.468 | 293.333 | 297.000 |
PNI | asyn_at1 | 0.490 | 274.333 | 314.667 |
IAL | PSP_unar | 0.461 | 266.667 | 281.000 |
AnonumoysGroup | PrTrn66 | 0.620 | 238.000 | 451.667 |
HCBS | Tr66_80K | 0.449 | 223.000 | 286.667 |
HCBS | Tr66comb | 0.451 | 219.000 | 292.333 |
IAL | PSP_full | 0.464 | 187.333 | 310.000 |
HCBS | Tr66t-01 | 0.469 | 182.667 | 318.667 |
HCBS | PrnTrn66 | 0.465 | 178.667 | 322.333 |
NO2 | lr_balan | 0.447 | 175.333 | 314.000 |
DIVE | PTR_V2 | 0.453 | 162.667 | 333.667 |
NO2 | lr_affin | 0.567 | 118.333 | 450.000 |
- 14 items
Legend
- CREMI score
- 1 - F-Score of the FP and FN.
- FP, FN
- The False Positives and False Negatives synaptic partner pairs. See metrics for details.
For each value, lower is better.