Leaderboard Neuron Segmentation
Results for the neuron segmentation category, averaged over all samples.
Group | Submission | CREMI score | VOI split | VOI merge | ARAND |
---|---|---|---|---|---|
DIVE | Segment | 0.670 | 1.275 | 0.315 | 0.287 |
PCH | ifn_x0 | 0.634 | 1.261 | 0.257 | 0.266 |
PCH | inp_x0 | 0.696 | 1.226 | 0.338 | 0.315 |
DIVE | ftSeg1 | 0.695 | 1.224 | 0.355 | 0.311 |
DIVE | ftSeg2 | 0.698 | 1.218 | 0.436 | 0.299 |
DIVE | CRNNGate | 0.514 | 1.191 | 0.196 | 0.194 |
PCH | ifn_x4 | 0.572 | 1.176 | 0.151 | 0.249 |
PCH | inp_x4 | 0.597 | 1.158 | 0.149 | 0.281 |
DIVE | CRunet1 | 0.619 | 1.141 | 0.381 | 0.275 |
FI-NCA | UnetTest | 0.950 | 1.120 | 0.737 | 0.486 |
DIVE | segBW4 | 0.772 | 1.113 | 0.645 | 0.344 |
DIVE | segBW5 | 0.775 | 1.112 | 0.651 | 0.345 |
DIVE | segBW2 | 0.776 | 1.111 | 0.651 | 0.346 |
DIVE | segBW3 | 0.776 | 1.110 | 0.653 | 0.346 |
VCG | LearnC | 0.618 | 1.093 | 0.139 | 0.313 |
VCG | LearnCt2 | 0.623 | 1.091 | 0.148 | 0.316 |
VCG | LFC | 0.616 | 1.085 | 0.140 | 0.313 |
DIVE | CRunet2 | 0.566 | 1.081 | 0.389 | 0.229 |
DIVE | MPfcn | 0.625 | 1.063 | 0.486 | 0.260 |
DIVE | DISW | 0.557 | 1.035 | 0.149 | 0.265 |
DIVE | M2uD_CSR | 0.766 | 1.030 | 0.770 | 0.329 |
DIVE | focalMST | 0.603 | 1.027 | 0.244 | 0.289 |
DIVE | ag35-42 | 0.553 | 0.999 | 0.150 | 0.267 |
IIL+DIVE@TAMU | new_segm | 2.671 | 0.928 | 6.475 | 0.964 |
FI-NCA | SwTr | 0.602 | 0.919 | 0.321 | 0.294 |
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 | MixUNet3 | 59.11 | 125333.0 | 7696.0 | 0.180 | 89.68 | 28.54 |
DIVE | MixUNet2 | 65.19 | 106260.3 | 13962.0 | 0.188 | 95.28 | 35.09 |
DIVE | CleftC4 | 65.38 | 112813.3 | 14762.3 | 0.179 | 82.62 | 48.15 |
DIVE | CleftC5 | 65.75 | 125395.7 | 11906.7 | 0.181 | 84.10 | 47.41 |
DIVE | CleftC2 | 66.19 | 117135.0 | 19904.7 | 0.181 | 83.30 | 49.08 |
DIVE | CleftC3 | 66.19 | 112868.0 | 18785.0 | 0.180 | 82.73 | 49.65 |
DIVE | CleftC1 | 66.50 | 149148.3 | 12971.0 | 0.187 | 86.56 | 46.43 |
DIVE | Mix_ABC1 | 74.39 | 101269.0 | 16022.0 | 0.174 | 79.04 | 69.73 |
DIVE | Mix_ABC2 | 75.02 | 131499.0 | 13795.7 | 0.200 | 78.36 | 71.67 |
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 |
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 |
DIVE | exp19lst | 90.80 | 25114.7 | 21554.0 | 0.107 | 117.39 | 64.21 |
DIVE | cleft_hi | 107.24 | 44844.3 | 52063.7 | 0.158 | 94.14 | 120.33 |
DIVE | CRNNGate | 120.36 | 62609.0 | 47395.7 | 0.175 | 110.06 | 130.66 |
DIVE | exp18_be | 136.63 | 8797.3 | 0.0 | 0.014 | 247.19 | 26.08 |
DIVE | cleft_lb | 139.19 | 284326.0 | 0.0 | 0.349 | 265.87 | 12.52 |
DIVE | clefitlo | 151.12 | 105664.7 | 32928.0 | 0.220 | 190.20 | 112.05 |
DIVE | SegClef1 | 156.70 | 617804.0 | 3339.3 | 0.373 | 296.85 | 16.56 |
DIVE | cleftlol | 179.28 | 723352.7 | 2716.7 | 0.375 | 334.05 | 24.51 |
DIVE | CRunet22 | 180.77 | 162763.0 | 23055.7 | 0.312 | 305.59 | 55.95 |
DIVE | cleftloh | 194.25 | 22502.0 | 67513.7 | 0.236 | 102.22 | 286.27 |
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 |
---|---|---|---|---|
AnonumoysGroup | PrTrn66 | 0.620 | 238.000 | 451.667 |
NO2 | lr_affin | 0.567 | 118.333 | 450.000 |
PNI | asyn_ori | 0.493 | 310.000 | 302.333 |
PNI | asyn_at1 | 0.490 | 274.333 | 314.667 |
HCBS | Tr66t-01 | 0.469 | 182.667 | 318.667 |
PNI | asyn_at0 | 0.468 | 293.333 | 297.000 |
HCBS | PrnTrn66 | 0.465 | 178.667 | 322.333 |
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 |
HCBS | Tr66comb | 0.451 | 219.000 | 292.333 |
HCBS | Tr66_80K | 0.449 | 223.000 | 286.667 |
NO2 | lr_balan | 0.447 | 175.333 | 314.000 |
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.