Leaderboard Neuron Segmentation
Results for the neuron segmentation category, averaged over all samples.
Group | Submission | CREMI score | VOI split | VOI merge | ARAND |
---|---|---|---|---|---|
afish1001 | wunet_wj | 2.212 | 0.641 | 5.157 | 0.854 |
afish1001 | wunet_ce | 2.244 | 0.829 | 4.982 | 0.882 |
afish1001 | unet_wj | 2.223 | 0.648 | 5.178 | 0.858 |
afish1001 | unet_ce | 2.246 | 0.831 | 4.987 | 0.883 |
DIVE | unet4 | 0.987 | 1.523 | 0.775 | 0.429 |
VIDAR | unet3d | 0.534 | 0.833 | 0.282 | 0.256 |
DIVE | unet3 | 0.994 | 1.451 | 0.831 | 0.441 |
DIVE | unet2 | 0.972 | 1.481 | 0.803 | 0.419 |
DIVE | unet1 | 1.001 | 1.436 | 0.861 | 0.443 |
DIVE | unet-4 | 0.987 | 1.523 | 0.775 | 0.429 |
DIVE | unet-3 | 0.994 | 1.451 | 0.831 | 0.441 |
DIVE | unet-2 | 0.972 | 1.481 | 0.803 | 0.419 |
DIVE | unet-1 | 1.001 | 1.436 | 0.861 | 0.443 |
- | testsubm | 2.683 | 3.083 | 4.768 | 0.918 |
VCG | testmala | 2.412 | 3.297 | 3.283 | 0.888 |
IAL | spUNetMC | 0.317 | 0.519 | 0.125 | 0.156 |
IAL | spUNetHC | 0.540 | 0.755 | 0.325 | 0.271 |
IAL | spUNet1 | 0.504 | 0.873 | 0.091 | 0.266 |
PCH | sff_aug | 0.277 | 0.471 | 0.118 | 0.130 |
PCH | sff_a | 0.277 | 0.473 | 0.119 | 0.131 |
DIVE | segBW5 | 0.775 | 1.112 | 0.651 | 0.345 |
DIVE | segBW4 | 0.772 | 1.113 | 0.645 | 0.344 |
DIVE | segBW3 | 0.776 | 1.110 | 0.653 | 0.346 |
DIVE | segBW2 | 0.776 | 1.111 | 0.651 | 0.346 |
DIVE | segBW1 | 0.693 | 1.296 | 0.314 | 0.304 |
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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 |
---|---|---|---|---|---|---|---|
DIVE | exp18_be | 136.63 | 8797.3 | 0.0 | 0.014 | 247.19 | 26.08 |
CMM | Max Test | 74.10 | 24019.3 | 44179.7 | 0.101 | 64.63 | 83.56 |
VCG | FgUPlus8 | 58.66 | 65345.7 | 11887.0 | 0.101 | 70.36 | 46.96 |
HSS | 3DUNet | 65.34 | 43440.3 | 22443.3 | 0.106 | 63.26 | 67.43 |
DLST | DLST001 | 71.19 | 53908.0 | 14839.0 | 0.106 | 69.02 | 73.36 |
DIVE | exp19lst | 90.80 | 25114.7 | 21554.0 | 0.107 | 117.39 | 64.21 |
VCG | FgSm0808 | 57.34 | 75120.7 | 9109.7 | 0.107 | 72.74 | 41.94 |
DIVE | ex19t5 | 315.97 | 64192.0 | 1757.3 | 0.112 | 600.79 | 31.15 |
HSS | 3DUNet04 | 79.33 | 29732.0 | 27514.3 | 0.113 | 53.22 | 105.44 |
DKFZ-MIC | nnUNet | 74.96 | 49914.0 | 18981.3 | 0.117 | 64.46 | 85.46 |
DLST | DLST002 | 75.46 | 56645.7 | 17498.3 | 0.119 | 65.93 | 85.00 |
JRC | DTU-2 | 67.56 | 70761.3 | 10069.3 | 0.123 | 109.67 | 25.46 |
DLST | DLST003 | 91.71 | 33118.7 | 35934.7 | 0.125 | 58.14 | 125.27 |
3DEM | BC_BC | 66.71 | 82113.3 | 13347.3 | 0.126 | 79.96 | 53.46 |
DIVE | WeitUNet | 78.12 | 54372.7 | 24480.3 | 0.128 | 71.51 | 84.73 |
JRC | DTU-1 | 72.21 | 85169.0 | 13607.3 | 0.131 | 106.31 | 38.11 |
CMM | UNet50 | 69.31 | 65762.0 | 12634.7 | 0.139 | 97.45 | 41.17 |
I2I | CSparSep | 75.79 | 71650.0 | 18918.3 | 0.140 | 72.06 | 79.52 |
VCG | FgSm0805 | 54.23 | 111486.0 | 4917.0 | 0.142 | 84.04 | 24.43 |
I2I | CleftB | 74.31 | 65334.0 | 21669.0 | 0.142 | 92.36 | 56.26 |
3DEM | ABC_BC | 62.21 | 99221.7 | 10981.0 | 0.151 | 75.79 | 48.63 |
HSS | HSZ | 90.11 | 65092.3 | 25807.3 | 0.154 | 99.61 | 80.61 |
DIVE | cleft_hi | 107.24 | 44844.3 | 52063.7 | 0.158 | 94.14 | 120.33 |
I2I | CleftB1 | 64.97 | 80004.7 | 19895.0 | 0.158 | 90.98 | 38.97 |
DIVE | BouUNet | 81.45 | 75985.0 | 21974.0 | 0.160 | 76.66 | 86.24 |
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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 |
PNI | asyn_ori | 0.493 | 310.000 | 302.333 |
PNI | asyn_at0 | 0.468 | 293.333 | 297.000 |
PNI | asyn_at1 | 0.490 | 274.333 | 314.667 |
IAL | PSP_unar | 0.461 | 266.667 | 281.000 |
AnonumoysGroup | PrTrn66 | 0.620 | 238.000 | 451.667 |
HCBS | Tr66_80K | 0.449 | 223.000 | 286.667 |
HCBS | Tr66comb | 0.451 | 219.000 | 292.333 |
IAL | PSP_full | 0.464 | 187.333 | 310.000 |
HCBS | Tr66t-01 | 0.469 | 182.667 | 318.667 |
HCBS | PrnTrn66 | 0.465 | 178.667 | 322.333 |
NO2 | lr_balan | 0.447 | 175.333 | 314.000 |
DIVE | PTR_V2 | 0.453 | 162.667 | 333.667 |
NO2 | lr_affin | 0.567 | 118.333 | 450.000 |
- 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.