Leaderboard Neuron Segmentation
Results for the neuron segmentation category, averaged over all samples.
Group | Submission | CREMI score | VOI split | VOI merge | ARAND |
---|---|---|---|---|---|
afish1001 | wunet_wj | 2.212 | 0.641 | 5.157 | 0.854 |
afish1001 | wunet_ce | 2.244 | 0.829 | 4.982 | 0.882 |
afish1001 | unet_wj | 2.223 | 0.648 | 5.178 | 0.858 |
afish1001 | unet_ce | 2.246 | 0.831 | 4.987 | 0.883 |
DIVE | unet4 | 0.987 | 1.523 | 0.775 | 0.429 |
VIDAR | unet3d | 0.534 | 0.833 | 0.282 | 0.256 |
DIVE | unet3 | 0.994 | 1.451 | 0.831 | 0.441 |
DIVE | unet2 | 0.972 | 1.481 | 0.803 | 0.419 |
DIVE | unet1 | 1.001 | 1.436 | 0.861 | 0.443 |
DIVE | unet-4 | 0.987 | 1.523 | 0.775 | 0.429 |
DIVE | unet-3 | 0.994 | 1.451 | 0.831 | 0.441 |
DIVE | unet-2 | 0.972 | 1.481 | 0.803 | 0.419 |
DIVE | unet-1 | 1.001 | 1.436 | 0.861 | 0.443 |
- | testsubm | 2.683 | 3.083 | 4.768 | 0.918 |
VCG | testmala | 2.412 | 3.297 | 3.283 | 0.888 |
IAL | spUNetMC | 0.317 | 0.519 | 0.125 | 0.156 |
IAL | spUNetHC | 0.540 | 0.755 | 0.325 | 0.271 |
IAL | spUNet1 | 0.504 | 0.873 | 0.091 | 0.266 |
PCH | sff_aug | 0.277 | 0.471 | 0.118 | 0.130 |
PCH | sff_a | 0.277 | 0.473 | 0.119 | 0.131 |
DIVE | segBW5 | 0.775 | 1.112 | 0.651 | 0.345 |
DIVE | segBW4 | 0.772 | 1.113 | 0.645 | 0.344 |
DIVE | segBW3 | 0.776 | 1.110 | 0.653 | 0.346 |
DIVE | segBW2 | 0.776 | 1.111 | 0.651 | 0.346 |
DIVE | segBW1 | 0.693 | 1.296 | 0.314 | 0.304 |
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- 25 of 162 items
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 | CleftC2 | 66.19 | 117135.0 | 19904.7 | 0.181 | 83.30 | 49.08 |
3DEM | BesA0.20 | 60.04 | 121311.3 | 7529.0 | 0.182 | 92.91 | 27.17 |
DIVE | CleftC1 | 66.50 | 149148.3 | 12971.0 | 0.187 | 86.56 | 46.43 |
I2I | SparSep | 66.76 | 151781.7 | 11350.3 | 0.188 | 87.35 | 46.17 |
DIVE | MixUNet2 | 65.19 | 106260.3 | 13962.0 | 0.188 | 95.28 | 35.09 |
lbdl | lb_thicc | 59.04 | 107211.3 | 234.0 | 0.190 | 109.17 | 8.91 |
SDG | PyTC20 | 65.68 | 167107.0 | 6190.0 | 0.196 | 90.36 | 41.00 |
DIVE | Mix_ABC2 | 75.02 | 131499.0 | 13795.7 | 0.200 | 78.36 | 71.67 |
DIVE | ex19t2 | 283.68 | 173078.7 | 0.0 | 0.201 | 551.77 | 15.60 |
DIVE | BesUNet | 82.46 | 131090.7 | 15589.0 | 0.206 | 109.52 | 55.40 |
lbdl | lb_lst | 64.22 | 118160.0 | 0.0 | 0.209 | 121.50 | 6.93 |
DIVE | clefitlo | 151.12 | 105664.7 | 32928.0 | 0.220 | 190.20 | 112.05 |
SDG | PyTC20-P | 64.59 | 215905.3 | 4962.0 | 0.227 | 96.14 | 33.05 |
SDG | Unet1 | 75.28 | 185988.3 | 16897.3 | 0.230 | 84.34 | 66.22 |
VCG | FgSemi05 | 57.63 | 221731.7 | 975.7 | 0.232 | 107.73 | 7.52 |
DIVE | cleftloh | 194.25 | 22502.0 | 67513.7 | 0.236 | 102.22 | 286.27 |
SDG | Unet2 | 63.92 | 202177.7 | 13156.0 | 0.256 | 97.64 | 30.19 |
3DEM | All_A | 76.12 | 157692.7 | 6808.7 | 0.256 | 130.59 | 21.66 |
SDG | Unet0 | 171.88 | 33308.3 | 108288.7 | 0.262 | 91.45 | 252.31 |
lbdl | Cleft_lb | 97.85 | 227868.0 | 0.0 | 0.262 | 181.08 | 14.61 |
SDG | Synap0.0 | 118.10 | 193580.0 | 12504.0 | 0.270 | 185.62 | 50.58 |
SDG | SynapX.0 | 118.10 | 193580.0 | 12504.0 | 0.270 | 185.62 | 50.58 |
Kreshuk | MG | 152.52 | 129494.3 | 63958.0 | 0.278 | 157.83 | 147.21 |
DIVE | 3class8t | 198.78 | 262876.7 | 0.0 | 0.282 | 393.81 | 3.76 |
SDG | SynapX.X | 121.40 | 204301.0 | 16302.7 | 0.286 | 194.74 | 48.06 |
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 |
---|---|---|---|---|
IAL | PSP_full | 0.464 | 187.333 | 310.000 |
IAL | PSP_unar | 0.461 | 266.667 | 281.000 |
DIVE | PTR_V2 | 0.453 | 162.667 | 333.667 |
AnonumoysGroup | PrTrn66 | 0.620 | 238.000 | 451.667 |
HCBS | PrnTrn66 | 0.465 | 178.667 | 322.333 |
HCBS | Tr66_80K | 0.449 | 223.000 | 286.667 |
HCBS | Tr66comb | 0.451 | 219.000 | 292.333 |
HCBS | Tr66t-01 | 0.469 | 182.667 | 318.667 |
PNI | asyn_at0 | 0.468 | 293.333 | 297.000 |
PNI | asyn_at1 | 0.490 | 274.333 | 314.667 |
PNI | asyn_mod | 0.423 | 367.667 | 262.333 |
PNI | asyn_ori | 0.493 | 310.000 | 302.333 |
NO2 | lr_affin | 0.567 | 118.333 | 450.000 |
NO2 | lr_balan | 0.447 | 175.333 | 314.000 |
- 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.