Leaderboard Neuron Segmentation
Results for the neuron segmentation category, averaged over all samples.
Group | Submission | CREMI score | VOI split | VOI merge | ARAND |
---|---|---|---|---|---|
Cvlab | cvlab | 3.472 | 6.069 | 6.542 | 0.956 |
DIVE | RUseg | 2.976 | 6.003 | 3.121 | 0.972 |
DIVE | BasUnet | 2.959 | 1.740 | 7.366 | 0.962 |
- | Final | 2.896 | 3.805 | 5.599 | 0.895 |
Cvlab | cvlab_1 | 2.891 | 4.686 | 5.421 | 0.828 |
Cvlab | cvlab_2 | 2.756 | 1.526 | 6.411 | 0.957 |
- | testsubm | 2.683 | 3.083 | 4.768 | 0.918 |
VCG | ZWZ-0.0 | 2.675 | 3.524 | 4.193 | 0.927 |
IIL+DIVE@TAMU | new_segm | 2.671 | 0.928 | 6.475 | 0.964 |
VCG | testmala | 2.412 | 3.297 | 3.283 | 0.888 |
afish1001 | unet_ce | 2.246 | 0.831 | 4.987 | 0.883 |
afish1001 | wunet_ce | 2.244 | 0.829 | 4.982 | 0.882 |
afish1001 | unet_wj | 2.223 | 0.648 | 5.178 | 0.858 |
afish1001 | wunet_wj | 2.212 | 0.641 | 5.157 | 0.854 |
HVCL | Deep Res | 2.212 | 1.672 | 4.182 | 0.837 |
afish1001 | ABWUnet | 2.199 | 0.696 | 5.042 | 0.856 |
afish1001 | OurUnet | 2.197 | 0.698 | 5.034 | 0.855 |
SeungLab-eding | Seung-ed | 1.525 | 0.895 | 2.160 | 0.764 |
DIVE | focalZ | 1.424 | 0.793 | 1.925 | 0.748 |
DIVE | ag23 | 1.221 | 0.755 | 1.557 | 0.647 |
Rhoana | Test1 | 1.162 | 1.646 | 1.179 | 0.486 |
SCI | Submission_1 | 1.088 | 1.782 | 0.556 | 0.518 |
DIVE | unet1 | 1.001 | 1.436 | 0.861 | 0.443 |
DIVE | unet-1 | 1.001 | 1.436 | 0.861 | 0.443 |
DIVE | unet3 | 0.994 | 1.451 | 0.831 | 0.441 |
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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 | CleftC3 | 66.19 | 112868.0 | 18785.0 | 0.180 | 82.73 | 49.65 |
DIVE | CleftC1 | 66.50 | 149148.3 | 12971.0 | 0.187 | 86.56 | 46.43 |
DIVE | Mix_ABC1 | 74.39 | 101269.0 | 16022.0 | 0.174 | 79.04 | 69.73 |
DIVE | Mix_ABC2 | 75.02 | 131499.0 | 13795.7 | 0.200 | 78.36 | 71.67 |
DIVE | SegCleft | 77.03 | 80978.3 | 20639.3 | 0.162 | 121.03 | 33.03 |
DIVE | celft_1 | 77.03 | 80978.3 | 20639.3 | 0.162 | 121.03 | 33.03 |
DIVE | WeitUNet | 78.12 | 54372.7 | 24480.3 | 0.128 | 71.51 | 84.73 |
DIVE | BouUNet | 81.45 | 75985.0 | 21974.0 | 0.160 | 76.66 | 86.24 |
DIVE | BesUNet | 82.46 | 131090.7 | 15589.0 | 0.206 | 109.52 | 55.40 |
DIVE | cleft | 88.46 | 97220.7 | 21239.3 | 0.172 | 139.74 | 37.18 |
DIVE | exp19lst | 90.80 | 25114.7 | 21554.0 | 0.107 | 117.39 | 64.21 |
DIVE | cleft_hi | 107.24 | 44844.3 | 52063.7 | 0.158 | 94.14 | 120.33 |
DIVE | CRNNGate | 120.36 | 62609.0 | 47395.7 | 0.175 | 110.06 | 130.66 |
DIVE | exp18_be | 136.63 | 8797.3 | 0.0 | 0.014 | 247.19 | 26.08 |
DIVE | cleft_lb | 139.19 | 284326.0 | 0.0 | 0.349 | 265.87 | 12.52 |
DIVE | clefitlo | 151.12 | 105664.7 | 32928.0 | 0.220 | 190.20 | 112.05 |
DIVE | SegClef1 | 156.70 | 617804.0 | 3339.3 | 0.373 | 296.85 | 16.56 |
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 |
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 |
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 |
---|---|---|---|---|
NO2 | lr_affin | 0.567 | 118.333 | 450.000 |
DIVE | PTR_V2 | 0.453 | 162.667 | 333.667 |
NO2 | lr_balan | 0.447 | 175.333 | 314.000 |
HCBS | PrnTrn66 | 0.465 | 178.667 | 322.333 |
HCBS | Tr66t-01 | 0.469 | 182.667 | 318.667 |
IAL | PSP_full | 0.464 | 187.333 | 310.000 |
HCBS | Tr66comb | 0.451 | 219.000 | 292.333 |
HCBS | Tr66_80K | 0.449 | 223.000 | 286.667 |
AnonumoysGroup | PrTrn66 | 0.620 | 238.000 | 451.667 |
IAL | PSP_unar | 0.461 | 266.667 | 281.000 |
PNI | asyn_at1 | 0.490 | 274.333 | 314.667 |
PNI | asyn_at0 | 0.468 | 293.333 | 297.000 |
PNI | asyn_ori | 0.493 | 310.000 | 302.333 |
PNI | asyn_mod | 0.423 | 367.667 | 262.333 |
- 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.