Leaderboard Neuron Segmentation
Results for the neuron segmentation category, averaged over all samples.
Group | Submission | CREMI score | VOI split | VOI merge | ARAND |
---|---|---|---|---|---|
- | testsubm | 2.683 | 3.083 | 4.768 | 0.918 |
- | Final | 2.896 | 3.805 | 5.599 | 0.895 |
Cvlab | cvlab_2 | 2.756 | 1.526 | 6.411 | 0.957 |
Cvlab | cvlab_1 | 2.891 | 4.686 | 5.421 | 0.828 |
Cvlab | cvlab | 3.472 | 6.069 | 6.542 | 0.956 |
DIVE | CRNNGate | 0.514 | 1.191 | 0.196 | 0.194 |
DIVE | MSTW | 0.537 | 0.915 | 0.168 | 0.268 |
DIVE | ag35-42 | 0.553 | 0.999 | 0.150 | 0.267 |
DIVE | DISW | 0.557 | 1.035 | 0.149 | 0.265 |
DIVE | CRunet2 | 0.566 | 1.081 | 0.389 | 0.229 |
DIVE | focalMST | 0.603 | 1.027 | 0.244 | 0.289 |
DIVE | CRunet1 | 0.619 | 1.141 | 0.381 | 0.275 |
DIVE | MPfcn | 0.625 | 1.063 | 0.486 | 0.260 |
DIVE | Segment | 0.670 | 1.275 | 0.315 | 0.287 |
DIVE | seg&BW | 0.679 | 1.287 | 0.318 | 0.292 |
DIVE | SegCleft | 0.679 | 1.286 | 0.319 | 0.292 |
DIVE | segBW1 | 0.693 | 1.296 | 0.314 | 0.304 |
DIVE | ftSeg1 | 0.695 | 1.224 | 0.355 | 0.311 |
DIVE | ftSeg2 | 0.698 | 1.218 | 0.436 | 0.299 |
DIVE | seg&BW1 | 0.699 | 1.320 | 0.319 | 0.303 |
DIVE | seg&BW4 | 0.700 | 1.322 | 0.321 | 0.303 |
DIVE | seg&BW2 | 0.701 | 1.307 | 0.327 | 0.306 |
DIVE | seg&BW5 | 0.702 | 1.308 | 0.328 | 0.307 |
DIVE | ag35-2 | 0.702 | 0.917 | 0.402 | 0.384 |
DIVE | seg9 | 0.711 | 1.381 | 0.234 | 0.322 |
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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 |
---|---|---|---|---|---|---|---|
VCG | FgUPlus | 57.90 | 137412.7 | 4763.3 | 0.160 | 90.99 | 24.81 |
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 |
CleftKing | CleABC3 | 59.10 | 106917.7 | 10746.3 | 0.165 | 87.22 | 30.99 |
VCG | FgDT05 | 124.93 | 15650.7 | 88933.3 | 0.165 | 41.04 | 208.83 |
SDG | PyTC20-1 | 67.97 | 131489.3 | 8699.0 | 0.167 | 84.22 | 51.73 |
3DEM | ABC_BC2 | 61.70 | 110946.0 | 10787.3 | 0.168 | 76.67 | 46.73 |
DIVE | CleftNet | 57.73 | 116095.3 | 8004.3 | 0.169 | 85.60 | 29.87 |
CleftKing | CleABC2 | 59.47 | 110518.3 | 10494.7 | 0.170 | 88.88 | 30.05 |
3DEM | ABC_BC1 | 61.72 | 114005.0 | 10670.3 | 0.170 | 76.99 | 46.46 |
DIVE | cleft | 88.46 | 97220.7 | 21239.3 | 0.172 | 139.74 | 37.18 |
DIVE | Mix_ABC1 | 74.39 | 101269.0 | 16022.0 | 0.174 | 79.04 | 69.73 |
3DEM | Part_A | 65.43 | 112964.7 | 10645.0 | 0.174 | 96.87 | 34.00 |
DIVE | CRNNGate | 120.36 | 62609.0 | 47395.7 | 0.175 | 110.06 | 130.66 |
3DEM | BesA225 | 59.34 | 120053.7 | 7534.0 | 0.177 | 90.88 | 27.80 |
DIVE | MixUNet4 | 59.03 | 122122.0 | 7761.3 | 0.177 | 89.35 | 28.71 |
DIVE | Aug-UNet | 57.89 | 123985.7 | 7992.0 | 0.177 | 86.45 | 29.32 |
DIVE | MixUNet | 57.91 | 125220.0 | 7920.0 | 0.178 | 86.57 | 29.25 |
DIVE | CleftC4 | 65.38 | 112813.3 | 14762.3 | 0.179 | 82.62 | 48.15 |
CleftKing | CleABC1 | 58.02 | 130521.0 | 7637.3 | 0.179 | 87.11 | 28.94 |
I2I | FCEval | 66.45 | 107963.7 | 21352.3 | 0.179 | 82.28 | 50.62 |
DIVE | MixUNet3 | 59.11 | 125333.0 | 7696.0 | 0.180 | 89.68 | 28.54 |
DIVE | CleftC3 | 66.19 | 112868.0 | 18785.0 | 0.180 | 82.73 | 49.65 |
VCG | FgSemi08 | 55.41 | 160792.7 | 3178.3 | 0.181 | 96.54 | 14.28 |
DIVE | CleftC5 | 65.75 | 125395.7 | 11906.7 | 0.181 | 84.10 | 47.41 |
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.