Leaderboard Neuron Segmentation
Results for the neuron segmentation category, averaged over all samples.
Group | Submission | CREMI score | VOI split | VOI merge | ARAND |
---|---|---|---|---|---|
PCH | UNet_aut | 0.286 | 0.479 | 0.127 | 0.135 |
PCH | UNet_dim | 0.312 | 0.513 | 0.180 | 0.141 |
PCH | UNet_dip | 0.310 | 0.501 | 0.158 | 0.146 |
PCH | UNet_hw | 0.990 | 1.828 | 0.529 | 0.419 |
PCH | UNet_inp | 0.277 | 0.438 | 0.131 | 0.137 |
PCH | UNet_mis | 0.272 | 0.453 | 0.113 | 0.131 |
PCH | UNet_no | 0.285 | 0.475 | 0.129 | 0.135 |
IAL | UnetLMC2 | 0.221 | 0.339 | 0.115 | 0.108 |
IAL | UnetLRIF | 0.242 | 0.350 | 0.135 | 0.121 |
IAL | UnetLRLC | 0.325 | 0.463 | 0.188 | 0.164 |
IAL | UnetLRMC | 0.410 | 0.442 | 0.374 | 0.208 |
FI-NCA | UnetMF | 0.608 | 0.772 | 0.534 | 0.283 |
FI-NCA | UnetTest | 0.950 | 1.120 | 0.737 | 0.486 |
VCG | ZWZ-0.0 | 2.675 | 3.524 | 4.193 | 0.927 |
DIVE | ag23 | 1.221 | 0.755 | 1.557 | 0.647 |
DIVE | ag35 | 0.804 | 0.853 | 0.647 | 0.438 |
DIVE | ag35-2 | 0.702 | 0.917 | 0.402 | 0.384 |
DIVE | ag35-3 | 0.784 | 0.829 | 0.612 | 0.433 |
DIVE | ag35-4 | 0.759 | 0.899 | 0.510 | 0.416 |
DIVE | ag35-42 | 0.553 | 0.999 | 0.150 | 0.267 |
DIVE | ag35-5 | 0.793 | 1.491 | 0.296 | 0.358 |
Cvlab | cvlab | 3.472 | 6.069 | 6.542 | 0.956 |
Cvlab | cvlab_1 | 2.891 | 4.686 | 5.421 | 0.828 |
Cvlab | cvlab_2 | 2.756 | 1.526 | 6.411 | 0.957 |
DIVE | focalMST | 0.603 | 1.027 | 0.244 | 0.289 |
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 |
VCG | FgDTSm08 | 434.91 | 4747.0 | 355265.0 | 0.619 | 42.86 | 826.96 |
VCG | FgDTSm05 | 232.99 | 15377.7 | 173608.0 | 0.349 | 56.70 | 409.27 |
3DEM | ABC_C | 375.91 | 289364.7 | 89797.7 | 0.619 | 385.49 | 366.34 |
3DEM | BesA275 | 252.56 | 254701.0 | 581781.3 | 0.456 | 199.02 | 306.10 |
DIVE | cleftloh | 194.25 | 22502.0 | 67513.7 | 0.236 | 102.22 | 286.27 |
SDG | Unet0 | 171.88 | 33308.3 | 108288.7 | 0.262 | 91.45 | 252.31 |
VCG | FgDT05 | 124.93 | 15650.7 | 88933.3 | 0.165 | 41.04 | 208.83 |
IAL | 3d_model | 229.78 | 86415.3 | 84295.0 | 0.317 | 255.27 | 204.29 |
Kreshuk | MG | 152.52 | 129494.3 | 63958.0 | 0.278 | 157.83 | 147.21 |
DIVE | CRNNGate | 120.36 | 62609.0 | 47395.7 | 0.175 | 110.06 | 130.66 |
DLST | DLST003 | 91.71 | 33118.7 | 35934.7 | 0.125 | 58.14 | 125.27 |
DIVE | cleft_hi | 107.24 | 44844.3 | 52063.7 | 0.158 | 94.14 | 120.33 |
DIVE | clefitlo | 151.12 | 105664.7 | 32928.0 | 0.220 | 190.20 | 112.05 |
HSS | 3DUNet04 | 79.33 | 29732.0 | 27514.3 | 0.113 | 53.22 | 105.44 |
IAL | full_mod | 137.73 | 153335.3 | 61967.7 | 0.310 | 176.37 | 99.09 |
IAL | unaries | 150.64 | 175624.3 | 60151.3 | 0.327 | 213.52 | 87.77 |
DIVE | BouUNet | 81.45 | 75985.0 | 21974.0 | 0.160 | 76.66 | 86.24 |
DKFZ-MIC | nnUNet | 74.96 | 49914.0 | 18981.3 | 0.117 | 64.46 | 85.46 |
DLST | DLST002 | 75.46 | 56645.7 | 17498.3 | 0.119 | 65.93 | 85.00 |
DIVE | WeitUNet | 78.12 | 54372.7 | 24480.3 | 0.128 | 71.51 | 84.73 |
CMM | Max Test | 74.10 | 24019.3 | 44179.7 | 0.101 | 64.63 | 83.56 |
HSS | HSZ | 90.11 | 65092.3 | 25807.3 | 0.154 | 99.61 | 80.61 |
I2I | CSparSep | 75.79 | 71650.0 | 18918.3 | 0.140 | 72.06 | 79.52 |
IAL | A+test | 153.91 | 196558.0 | 55962.3 | 0.339 | 232.28 | 75.53 |
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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 |
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.