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 |
---|---|---|---|---|---|---|---|
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 |
---|---|---|---|---|
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.