Leaderboard Neuron Segmentation
Results for the neuron segmentation category, averaged over all samples.
Group | Submission | CREMI score | VOI split | VOI merge | ARAND |
---|---|---|---|---|---|
DIVE | M2uD_CSR | 0.766 | 1.030 | 0.770 | 0.329 |
DIVE | seg5 | 0.730 | 1.423 | 0.243 | 0.328 |
DIVE | seg8 | 0.717 | 1.388 | 0.239 | 0.325 |
DIVE | seg7 | 0.717 | 1.398 | 0.232 | 0.324 |
DIVE | seg9 | 0.711 | 1.381 | 0.234 | 0.322 |
VCG | LearnCt2 | 0.623 | 1.091 | 0.148 | 0.316 |
PCH | inp_x0 | 0.696 | 1.226 | 0.338 | 0.315 |
VCG | LearnC | 0.618 | 1.093 | 0.139 | 0.313 |
VCG | LFC | 0.616 | 1.085 | 0.140 | 0.313 |
DIVE | seg&BW3 | 0.714 | 1.343 | 0.322 | 0.312 |
DIVE | ftSeg1 | 0.695 | 1.224 | 0.355 | 0.311 |
VIDAR | mala_py | 0.696 | 1.446 | 0.153 | 0.307 |
DIVE | seg&BW5 | 0.702 | 1.308 | 0.328 | 0.307 |
DIVE | seg&BW2 | 0.701 | 1.307 | 0.327 | 0.306 |
DIVE | pi-net | 0.728 | 1.480 | 0.270 | 0.305 |
DIVE | segBW1 | 0.693 | 1.296 | 0.314 | 0.304 |
DIVE | seg&BW4 | 0.700 | 1.322 | 0.321 | 0.303 |
DIVE | seg&BW1 | 0.699 | 1.320 | 0.319 | 0.303 |
VIDAR | mala_py2 | 0.675 | 1.365 | 0.174 | 0.300 |
DIVE | ftSeg2 | 0.698 | 1.218 | 0.436 | 0.299 |
DIVE | CRunet22 | 0.746 | 1.522 | 0.438 | 0.298 |
DIVE | SegClef1 | 0.723 | 1.365 | 0.425 | 0.298 |
DIVE | segBC018 | 0.717 | 1.347 | 0.422 | 0.296 |
FI-NCA | SwTr | 0.602 | 0.919 | 0.321 | 0.294 |
DIVE | SegCleft | 0.679 | 1.286 | 0.319 | 0.292 |
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 |
---|---|---|---|---|---|---|---|
DIVE | clefitlo | 151.12 | 105664.7 | 32928.0 | 0.220 | 190.20 | 112.05 |
Kreshuk | MG | 152.52 | 129494.3 | 63958.0 | 0.278 | 157.83 | 147.21 |
IAL | A+test | 153.91 | 196558.0 | 55962.3 | 0.339 | 232.28 | 75.53 |
DIVE | SegClef1 | 156.70 | 617804.0 | 3339.3 | 0.373 | 296.85 | 16.56 |
SDG | Unet0 | 171.88 | 33308.3 | 108288.7 | 0.262 | 91.45 | 252.31 |
DIVE | cleftlol | 179.28 | 723352.7 | 2716.7 | 0.375 | 334.05 | 24.51 |
DIVE | CRunet22 | 180.77 | 162763.0 | 23055.7 | 0.312 | 305.59 | 55.95 |
DIVE | cleftloh | 194.25 | 22502.0 | 67513.7 | 0.236 | 102.22 | 286.27 |
DIVE | 3class8t | 198.78 | 262876.7 | 0.0 | 0.282 | 393.81 | 3.76 |
DIVE | cleft_A+ | 199.35 | 378215.7 | 0.0 | 0.386 | 395.99 | 2.72 |
DIVE | Exp12_64 | 202.46 | 335698.7 | 0.0 | 0.374 | 402.99 | 1.93 |
IAL | 3d_model | 229.78 | 86415.3 | 84295.0 | 0.317 | 255.27 | 204.29 |
VCG | FgDTSm05 | 232.99 | 15377.7 | 173608.0 | 0.349 | 56.70 | 409.27 |
3DEM | BesA275 | 252.56 | 254701.0 | 581781.3 | 0.456 | 199.02 | 306.10 |
DIVE | ex19t2 | 283.68 | 173078.7 | 0.0 | 0.201 | 551.77 | 15.60 |
DIVE | exp18_la | 284.83 | 684532.0 | 0.0 | 0.493 | 564.72 | 4.94 |
cxj | USTC | 284.98 | 1015564.7 | 108523.3 | 0.600 | 516.31 | 53.65 |
DIVE | ex19t5 | 315.97 | 64192.0 | 1757.3 | 0.112 | 600.79 | 31.15 |
DIVE | CRunet2 | 318.85 | 107459361.0 | 4195.7 | 0.824 | 611.30 | 26.40 |
3DEM | ABC_C | 375.91 | 289364.7 | 89797.7 | 0.619 | 385.49 | 366.34 |
DIVE | Rclefts | 380.86 | 167900713.3 | 0.0 | 0.990 | 761.72 | 0.00 |
DIVE | OrClefts | 380.86 | 167900713.3 | 0.0 | 0.990 | 761.72 | 0.00 |
DIVE | ResUnet | 380.86 | 167900713.3 | 0.0 | 0.990 | 761.72 | 0.00 |
CMM | GenT | 380.86 | 167900713.3 | 0.0 | 0.990 | 761.72 | 0.00 |
VCG | FgDTSm08 | 434.91 | 4747.0 | 355265.0 | 0.619 | 42.86 | 826.96 |
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 |
NO2 | lr_balan | 0.447 | 175.333 | 314.000 |
HCBS | Tr66_80K | 0.449 | 223.000 | 286.667 |
HCBS | Tr66comb | 0.451 | 219.000 | 292.333 |
DIVE | PTR_V2 | 0.453 | 162.667 | 333.667 |
IAL | PSP_unar | 0.461 | 266.667 | 281.000 |
IAL | PSP_full | 0.464 | 187.333 | 310.000 |
HCBS | PrnTrn66 | 0.465 | 178.667 | 322.333 |
PNI | asyn_at0 | 0.468 | 293.333 | 297.000 |
HCBS | Tr66t-01 | 0.469 | 182.667 | 318.667 |
PNI | asyn_at1 | 0.490 | 274.333 | 314.667 |
PNI | asyn_ori | 0.493 | 310.000 | 302.333 |
NO2 | lr_affin | 0.567 | 118.333 | 450.000 |
AnonumoysGroup | PrTrn66 | 0.620 | 238.000 | 451.667 |
- 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.