Leaderboard Neuron Segmentation
Results for the neuron segmentation category, averaged over all samples.
Group | Submission | CREMI score | VOI split | VOI merge | ARAND |
---|---|---|---|---|---|
afish1001 | OurUnet | 2.197 | 0.698 | 5.034 | 0.855 |
afish1001 | ABWUnet | 2.199 | 0.696 | 5.042 | 0.856 |
afish1001 | wunet_wj | 2.212 | 0.641 | 5.157 | 0.854 |
afish1001 | unet_wj | 2.223 | 0.648 | 5.178 | 0.858 |
afish1001 | wunet_ce | 2.244 | 0.829 | 4.982 | 0.882 |
afish1001 | unet_ce | 2.246 | 0.831 | 4.987 | 0.883 |
VIDAR | MALAv2 | 0.286 | 0.479 | 0.127 | 0.135 |
VIDAR | unet3d | 0.534 | 0.833 | 0.282 | 0.256 |
VIDAR | mala_py3 | 0.543 | 0.724 | 0.374 | 0.270 |
VIDAR | mala_py2 | 0.675 | 1.365 | 0.174 | 0.300 |
VIDAR | mala_py | 0.696 | 1.446 | 0.153 | 0.307 |
VCG | mala-seg | 0.349 | 0.452 | 0.245 | 0.179 |
VCG | LFC | 0.616 | 1.085 | 0.140 | 0.313 |
VCG | LearnC | 0.618 | 1.093 | 0.139 | 0.313 |
VCG | LearnCt2 | 0.623 | 1.091 | 0.148 | 0.316 |
VCG | testmala | 2.412 | 3.297 | 3.283 | 0.888 |
VCG | ZWZ-0.0 | 2.675 | 3.524 | 4.193 | 0.927 |
SeungLab-eding | Seung-ed | 1.525 | 0.895 | 2.160 | 0.764 |
SCI | Submission_1 | 1.088 | 1.782 | 0.556 | 0.518 |
Rhoana | Test1 | 1.162 | 1.646 | 1.179 | 0.486 |
PNI | PNIUNet5 | 0.228 | 0.345 | 0.106 | 0.116 |
PNI | PNIUNet7 | 0.228 | 0.345 | 0.106 | 0.116 |
PNI | PNIUNet0 | 0.229 | 0.350 | 0.101 | 0.117 |
PNI | PNIUNet4 | 0.237 | 0.350 | 0.110 | 0.122 |
PNI | PNIUNet6 | 0.237 | 0.349 | 0.114 | 0.122 |
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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 | 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 |
HSS | 3DUNet04 | 79.33 | 29732.0 | 27514.3 | 0.113 | 53.22 | 105.44 |
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 |
HSS | HSZ | 90.11 | 65092.3 | 25807.3 | 0.154 | 99.61 | 80.61 |
DIVE | exp19lst | 90.80 | 25114.7 | 21554.0 | 0.107 | 117.39 | 64.21 |
DLST | DLST003 | 91.71 | 33118.7 | 35934.7 | 0.125 | 58.14 | 125.27 |
lbdl | Cleft_lb | 97.85 | 227868.0 | 0.0 | 0.262 | 181.08 | 14.61 |
DIVE | cleft_hi | 107.24 | 44844.3 | 52063.7 | 0.158 | 94.14 | 120.33 |
VCG | FgRj0805 | 117.25 | 1329995.3 | 327.7 | 0.610 | 232.66 | 1.84 |
VCG | FgRj0808 | 117.25 | 1329995.3 | 327.7 | 0.610 | 232.66 | 1.84 |
SDG | Synap0.0 | 118.10 | 193580.0 | 12504.0 | 0.270 | 185.62 | 50.58 |
SDG | SynapX.0 | 118.10 | 193580.0 | 12504.0 | 0.270 | 185.62 | 50.58 |
DIVE | CRNNGate | 120.36 | 62609.0 | 47395.7 | 0.175 | 110.06 | 130.66 |
SDG | SynapX.X | 121.40 | 204301.0 | 16302.7 | 0.286 | 194.74 | 48.06 |
SDG | SnapX.O | 124.59 | 182577.0 | 17000.7 | 0.306 | 205.18 | 44.01 |
SDG | SnapF.V | 124.59 | 182577.0 | 17000.7 | 0.306 | 205.18 | 44.01 |
VCG | FgDT05 | 124.93 | 15650.7 | 88933.3 | 0.165 | 41.04 | 208.83 |
DIVE | exp18_be | 136.63 | 8797.3 | 0.0 | 0.014 | 247.19 | 26.08 |
IAL | full_mod | 137.73 | 153335.3 | 61967.7 | 0.310 | 176.37 | 99.09 |
DIVE | cleft_lb | 139.19 | 284326.0 | 0.0 | 0.349 | 265.87 | 12.52 |
IAL | unaries | 150.64 | 175624.3 | 60151.3 | 0.327 | 213.52 | 87.77 |
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 |
---|---|---|---|---|
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 |
AnonumoysGroup | PrTrn66 | 0.620 | 238.000 | 451.667 |
HCBS | PrnTrn66 | 0.465 | 178.667 | 322.333 |
HCBS | Tr66_80K | 0.449 | 223.000 | 286.667 |
HCBS | Tr66comb | 0.451 | 219.000 | 292.333 |
HCBS | Tr66t-01 | 0.469 | 182.667 | 318.667 |
PNI | asyn_at0 | 0.468 | 293.333 | 297.000 |
PNI | asyn_at1 | 0.490 | 274.333 | 314.667 |
PNI | asyn_mod | 0.423 | 367.667 | 262.333 |
PNI | asyn_ori | 0.493 | 310.000 | 302.333 |
NO2 | lr_affin | 0.567 | 118.333 | 450.000 |
NO2 | lr_balan | 0.447 | 175.333 | 314.000 |
- 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.