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 |
---|---|---|---|---|---|---|---|
HSS | 3DUNet | 65.34 | 43440.3 | 22443.3 | 0.106 | 63.26 | 67.43 |
HSS | 3DUNet04 | 79.33 | 29732.0 | 27514.3 | 0.113 | 53.22 | 105.44 |
DIVE | 3class8t | 198.78 | 262876.7 | 0.0 | 0.282 | 393.81 | 3.76 |
IAL | 3d_model | 229.78 | 86415.3 | 84295.0 | 0.317 | 255.27 | 204.29 |
IAL | A+test | 153.91 | 196558.0 | 55962.3 | 0.339 | 232.28 | 75.53 |
3DEM | ABC_BC | 62.21 | 99221.7 | 10981.0 | 0.151 | 75.79 | 48.63 |
3DEM | ABC_BC1 | 61.72 | 114005.0 | 10670.3 | 0.170 | 76.99 | 46.46 |
3DEM | ABC_BC2 | 61.70 | 110946.0 | 10787.3 | 0.168 | 76.67 | 46.73 |
3DEM | ABC_C | 375.91 | 289364.7 | 89797.7 | 0.619 | 385.49 | 366.34 |
3DEM | All_A | 76.12 | 157692.7 | 6808.7 | 0.256 | 130.59 | 21.66 |
DIVE | Aug-UNet | 57.89 | 123985.7 | 7992.0 | 0.177 | 86.45 | 29.32 |
3DEM | BC_BC | 66.71 | 82113.3 | 13347.3 | 0.126 | 79.96 | 53.46 |
3DEM | BesA0.20 | 60.04 | 121311.3 | 7529.0 | 0.182 | 92.91 | 27.17 |
3DEM | BesA225 | 59.34 | 120053.7 | 7534.0 | 0.177 | 90.88 | 27.80 |
3DEM | BesA275 | 252.56 | 254701.0 | 581781.3 | 0.456 | 199.02 | 306.10 |
DIVE | BesUNet | 82.46 | 131090.7 | 15589.0 | 0.206 | 109.52 | 55.40 |
DIVE | BouUNet | 81.45 | 75985.0 | 21974.0 | 0.160 | 76.66 | 86.24 |
DIVE | CRNNGate | 120.36 | 62609.0 | 47395.7 | 0.175 | 110.06 | 130.66 |
DIVE | CRunet2 | 318.85 | 107459361.0 | 4195.7 | 0.824 | 611.30 | 26.40 |
DIVE | CRunet22 | 180.77 | 162763.0 | 23055.7 | 0.312 | 305.59 | 55.95 |
I2I | CSparSep | 75.79 | 71650.0 | 18918.3 | 0.140 | 72.06 | 79.52 |
CleftKing | CleABC1 | 58.02 | 130521.0 | 7637.3 | 0.179 | 87.11 | 28.94 |
CleftKing | CleABC2 | 59.47 | 110518.3 | 10494.7 | 0.170 | 88.88 | 30.05 |
CleftKing | CleABC3 | 59.10 | 106917.7 | 10746.3 | 0.165 | 87.22 | 30.99 |
I2I | CleftB | 74.31 | 65334.0 | 21669.0 | 0.142 | 92.36 | 56.26 |
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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 |
---|---|---|---|---|
NO2 | lr_balan | 0.447 | 175.333 | 314.000 |
NO2 | lr_affin | 0.567 | 118.333 | 450.000 |
PNI | asyn_ori | 0.493 | 310.000 | 302.333 |
PNI | asyn_mod | 0.423 | 367.667 | 262.333 |
PNI | asyn_at1 | 0.490 | 274.333 | 314.667 |
PNI | asyn_at0 | 0.468 | 293.333 | 297.000 |
HCBS | Tr66t-01 | 0.469 | 182.667 | 318.667 |
HCBS | Tr66comb | 0.451 | 219.000 | 292.333 |
HCBS | Tr66_80K | 0.449 | 223.000 | 286.667 |
HCBS | PrnTrn66 | 0.465 | 178.667 | 322.333 |
AnonumoysGroup | PrTrn66 | 0.620 | 238.000 | 451.667 |
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 |
- 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.