Leaderboard Neuron Segmentation
Results for the neuron segmentation category, averaged over all samples.
Group | Submission | CREMI score | VOI split | VOI merge | ARAND |
---|---|---|---|---|---|
DIVE | RUseg | 2.976 | 6.003 | 3.121 | 0.972 |
IIL+DIVE@TAMU | new_segm | 2.671 | 0.928 | 6.475 | 0.964 |
DIVE | BasUnet | 2.959 | 1.740 | 7.366 | 0.962 |
Cvlab | cvlab_2 | 2.756 | 1.526 | 6.411 | 0.957 |
Cvlab | cvlab | 3.472 | 6.069 | 6.542 | 0.956 |
VCG | ZWZ-0.0 | 2.675 | 3.524 | 4.193 | 0.927 |
- | testsubm | 2.683 | 3.083 | 4.768 | 0.918 |
- | Final | 2.896 | 3.805 | 5.599 | 0.895 |
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 | ABWUnet | 2.199 | 0.696 | 5.042 | 0.856 |
afish1001 | OurUnet | 2.197 | 0.698 | 5.034 | 0.855 |
afish1001 | wunet_wj | 2.212 | 0.641 | 5.157 | 0.854 |
HVCL | Deep Res | 2.212 | 1.672 | 4.182 | 0.837 |
Cvlab | cvlab_1 | 2.891 | 4.686 | 5.421 | 0.828 |
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 |
SCI | Submission_1 | 1.088 | 1.782 | 0.556 | 0.518 |
Rhoana | Test1 | 1.162 | 1.646 | 1.179 | 0.486 |
FI-NCA | UnetTest | 0.950 | 1.120 | 0.737 | 0.486 |
DIVE | unet1 | 1.001 | 1.436 | 0.861 | 0.443 |
DIVE | unet-1 | 1.001 | 1.436 | 0.861 | 0.443 |
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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 | FgSm0805 | 54.23 | 111486.0 | 4917.0 | 0.142 | 84.04 | 24.43 |
VCG | FgSemi08 | 55.41 | 160792.7 | 3178.3 | 0.181 | 96.54 | 14.28 |
VCG | FgSm0808 | 57.34 | 75120.7 | 9109.7 | 0.107 | 72.74 | 41.94 |
VCG | FgSemi05 | 57.63 | 221731.7 | 975.7 | 0.232 | 107.73 | 7.52 |
DIVE | CleftNet | 57.73 | 116095.3 | 8004.3 | 0.169 | 85.60 | 29.87 |
DIVE | Aug-UNet | 57.89 | 123985.7 | 7992.0 | 0.177 | 86.45 | 29.32 |
VCG | FgUPlus | 57.90 | 137412.7 | 4763.3 | 0.160 | 90.99 | 24.81 |
DIVE | MixUNet | 57.91 | 125220.0 | 7920.0 | 0.178 | 86.57 | 29.25 |
CleftKing | CleABC1 | 58.02 | 130521.0 | 7637.3 | 0.179 | 87.11 | 28.94 |
VCG | FgUPlus8 | 58.66 | 65345.7 | 11887.0 | 0.101 | 70.36 | 46.96 |
DIVE | MixUNet4 | 59.03 | 122122.0 | 7761.3 | 0.177 | 89.35 | 28.71 |
lbdl | lb_thicc | 59.04 | 107211.3 | 234.0 | 0.190 | 109.17 | 8.91 |
CleftKing | CleABC3 | 59.10 | 106917.7 | 10746.3 | 0.165 | 87.22 | 30.99 |
DIVE | MixUNet3 | 59.11 | 125333.0 | 7696.0 | 0.180 | 89.68 | 28.54 |
3DEM | BesA225 | 59.34 | 120053.7 | 7534.0 | 0.177 | 90.88 | 27.80 |
CleftKing | CleABC2 | 59.47 | 110518.3 | 10494.7 | 0.170 | 88.88 | 30.05 |
3DEM | BesA0.20 | 60.04 | 121311.3 | 7529.0 | 0.182 | 92.91 | 27.17 |
3DEM | ABC_BC2 | 61.70 | 110946.0 | 10787.3 | 0.168 | 76.67 | 46.73 |
3DEM | ABC_BC1 | 61.72 | 114005.0 | 10670.3 | 0.170 | 76.99 | 46.46 |
3DEM | ABC_BC | 62.21 | 99221.7 | 10981.0 | 0.151 | 75.79 | 48.63 |
SDG | Unet2 | 63.92 | 202177.7 | 13156.0 | 0.256 | 97.64 | 30.19 |
lbdl | lb_lst | 64.22 | 118160.0 | 0.0 | 0.209 | 121.50 | 6.93 |
SDG | PyTC20-P | 64.59 | 215905.3 | 4962.0 | 0.227 | 96.14 | 33.05 |
I2I | CleftB1 | 64.97 | 80004.7 | 19895.0 | 0.158 | 90.98 | 38.97 |
DIVE | MixUNet2 | 65.19 | 106260.3 | 13962.0 | 0.188 | 95.28 | 35.09 |
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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 |
---|---|---|---|---|
AnonumoysGroup | PrTrn66 | 0.620 | 238.000 | 451.667 |
NO2 | lr_affin | 0.567 | 118.333 | 450.000 |
PNI | asyn_ori | 0.493 | 310.000 | 302.333 |
PNI | asyn_at1 | 0.490 | 274.333 | 314.667 |
HCBS | Tr66t-01 | 0.469 | 182.667 | 318.667 |
PNI | asyn_at0 | 0.468 | 293.333 | 297.000 |
HCBS | PrnTrn66 | 0.465 | 178.667 | 322.333 |
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 |
HCBS | Tr66comb | 0.451 | 219.000 | 292.333 |
HCBS | Tr66_80K | 0.449 | 223.000 | 286.667 |
NO2 | lr_balan | 0.447 | 175.333 | 314.000 |
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.