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[- Training Phase Leaderboard 2017 -]
Last update: Mon Jul 29 03:00:07 EDT 2019, next update at Mon Jul 29 06:00:07 EDT 2019
This is an unranked leaderboard of the participating teams in BraTS 2017. It includes the numbers of cases each team has uploaded and the average evaluation metrics for these cases.
Team |
CasesEvaluated |
Submission |
Dice_ET |
Dice_WT |
Dice_TC |
Sensitivity_ET |
Sensitivity_WT |
Sensitivity_TC |
Specificity_ET |
Specificity_WT |
Specificity_TC |
Hausdorff95_ET |
Hausdorff95_WT |
Hausdorff95_TC |
Ashi |
285 |
7 |
0.46871 |
0.64282 |
0.49382 |
0.55477 |
0.58046 |
0.51269 |
0.99367 |
0.99431 |
0.99207 |
21.4545 |
25.73618 |
24.39732 |
BCVUniandes |
285 |
11 |
0.69553 |
0.87391 |
0.82978 |
0.74389 |
0.85164 |
0.8103 |
0.99837 |
0.9945 |
0.99637 |
7.94794 |
16.94262 |
13.22988 |
BIGS2 |
202 |
3 |
0.72448 |
0.82032 |
0.76398 |
0.78119 |
0.85915 |
0.84595 |
0.99607 |
0.98725 |
0.99369 |
16.34219 |
24.41008 |
26.41622 |
biomedia1_BHN |
63 |
9 |
0.76083 |
0.83262 |
0.78275 |
0.85471 |
0.81465 |
0.77666 |
0.99482 |
0.99269 |
0.99734 |
19.91541 |
22.09789 |
22.27567 |
BrICLab |
44 |
2 |
0.69619 |
0.89699 |
0.76963 |
0.76224 |
0.92104 |
0.80182 |
0.99747 |
0.9902 |
0.99288 |
6.84453 |
10.45882 |
10.66591 |
CIAN |
3 |
2 |
0.81589 |
0.9062 |
0.93871 |
0.81338 |
0.94959 |
0.93148 |
0.99948 |
0.99527 |
0.99924 |
3.14208 |
8.71794 |
1.66667 |
CISA |
285 |
1 |
0.80628 |
0.95057 |
0.94326 |
0.91371 |
0.96513 |
0.96202 |
0.99788 |
0.99602 |
0.99803 |
5.80005 |
7.70574 |
5.09058 |
CMR |
209 |
6 |
0.0 |
0.74215 |
0.4423 |
0.0 |
0.71428 |
0.79224 |
1.0 |
0.98974 |
0.96302 |
27.11141 |
45.30916 |
CVLab |
88 |
1 |
0.1278 |
0.57363 |
0.41811 |
0.23184 |
0.73358 |
0.62561 |
0.98948 |
0.93946 |
0.95256 |
52.89969 |
52.98159 |
62.44266 |
Drcubic |
1 |
2 |
0.03674 |
0.14942 |
0.05235 |
0.99599 |
0.99884 |
0.99741 |
0.50725 |
0.50476 |
0.5045 |
92.17375 |
80.65978 |
106.10584 |
Galvanized |
190 |
3 |
0.55891 |
0.63726 |
0.61521 |
0.57006 |
0.54902 |
0.56594 |
0.98941 |
0.98472 |
0.98569 |
13.48984 |
16.87633 |
18.12022 |
HPI-Ultimate |
285 |
3 |
0.52987 |
0.7956 |
0.68806 |
0.54979 |
0.71051 |
0.60734 |
0.99726 |
0.9968 |
0.99844 |
7.45024 |
7.27463 |
8.11313 |
inpm |
50 |
5 |
0.63975 |
0.85742 |
0.77038 |
0.82928 |
0.88387 |
0.79013 |
0.99644 |
0.98834 |
0.9946 |
12.42323 |
23.59978 |
17.41266 |
jimit_doshi |
245 |
2 |
0.29609 |
0.94413 |
0.50078 |
0.33968 |
0.93378 |
0.62488 |
0.98423 |
0.9984 |
0.97467 |
11.84917 |
4.9624 |
15.60366 |
justdoit |
86 |
9 |
0.0814 |
0.77215 |
0.45903 |
0.0814 |
0.71957 |
0.70742 |
1.0 |
0.99385 |
0.96298 |
8.86304 |
19.51493 |
MIC_DKFZ |
285 |
1 |
0.70686 |
0.89513 |
0.82764 |
0.80043 |
0.88986 |
0.83059 |
0.99789 |
0.99462 |
0.99671 |
6.23538 |
6.03918 |
6.94926 |
naomi.fridman |
1 |
6 |
0.28304 |
0.41452 |
0.28582 |
0.84902 |
0.98973 |
0.99816 |
0.93887 |
0.81859 |
0.84191 |
60.02499 |
53.83308 |
61.81424 |
NPU |
275 |
6 |
0.72796 |
0.93157 |
0.89143 |
0.8288 |
0.92604 |
0.90272 |
0.99786 |
0.99606 |
0.99738 |
11.30193 |
10.82349 |
11.53798 |
NUS_MPR |
285 |
1 |
0.71079 |
0.9087 |
0.866 |
0.77064 |
0.8971 |
0.83137 |
0.99824 |
0.99525 |
0.9981 |
6.946 |
7.27525 |
6.10319 |
PADAS |
284 |
2 |
0.62725 |
0.8447 |
0.74294 |
0.70255 |
0.92882 |
0.75562 |
0.99718 |
0.98331 |
0.99521 |
11.10568 |
15.48499 |
13.55195 |
pvg |
284 |
1 |
0.68242 |
0.88672 |
0.78971 |
0.75021 |
0.87898 |
0.78284 |
0.99753 |
0.99437 |
0.99623 |
6.57751 |
7.11689 |
8.1198 |
QTIM |
268 |
1 |
0.68386 |
0.79259 |
0.76263 |
0.78242 |
0.88242 |
0.79394 |
0.99713 |
0.98099 |
0.99365 |
13.05368 |
31.92474 |
25.96293 |
RIM |
1 |
3 |
1.0 |
1.0 |
1.0 |
1.0 |
1.0 |
1.0 |
1.0 |
1.0 |
1.0 |
0.0 |
0.0 |
0.0 |
ROB |
285 |
6 |
0.58399 |
0.85702 |
0.65234 |
0.70207 |
0.86527 |
0.75696 |
0.99645 |
0.99245 |
0.99158 |
10.63415 |
8.31824 |
13.39732 |
SaraS |
1 |
23 |
0.84365 |
0.8357 |
0.86472 |
0.81944 |
0.94069 |
0.92898 |
0.99833 |
0.98786 |
0.9964 |
2.0 |
5.09902 |
4.3589 |
SCUT_EE_ |
30 |
7 |
0.69657 |
0.84624 |
0.74839 |
0.726 |
0.85041 |
0.78658 |
0.99862 |
0.99458 |
0.99624 |
10.78483 |
12.06165 |
11.23373 |
SJTU |
86 |
2 |
0.6623 |
0.85862 |
0.72246 |
0.75911 |
0.88388 |
0.7287 |
0.99738 |
0.98964 |
0.99474 |
11.13867 |
19.67598 |
14.03413 |
stryker |
15 |
4 |
0.72565 |
0.91117 |
0.82378 |
0.81639 |
0.92911 |
0.81818 |
0.998 |
0.99277 |
0.99745 |
8.99979 |
2.81644 |
8.306 |
Succubus |
159 |
5 |
0.73351 |
0.96075 |
0.84167 |
0.86235 |
0.94909 |
0.8096 |
0.99845 |
0.99881 |
0.99871 |
4.42176 |
4.11943 |
6.612 |
UPC_DLMI |
85 |
1 |
0.67078 |
0.86874 |
0.68486 |
0.73522 |
0.85147 |
0.66425 |
0.99785 |
0.99434 |
0.99728 |
7.14461 |
6.41013 |
9.58395 |
xfeng |
285 |
2 |
0.80891 |
0.93839 |
0.93566 |
0.8975 |
0.95617 |
0.93305 |
0.99881 |
0.99556 |
0.9988 |
5.3643 |
17.41868 |
10.52805 |
ZejuLi |
285 |
10 |
0.65764 |
0.88485 |
0.86266 |
0.72929 |
0.88035 |
0.84996 |
0.99718 |
0.99242 |
0.99696 |
5.62166 |
5.10088 |
7.08765 |
Zhao |
1 |
2 |
0.89323 |
0.94968 |
0.86814 |
0.9139 |
0.95445 |
0.80357 |
0.99639 |
0.99146 |
0.99664 |
1.73205 |
2.23607 |
7.0 |
Zhouch |
25 |
5 |
0.78106 |
0.91553 |
0.79099 |
0.78761 |
0.91203 |
0.77905 |
0.99888 |
0.99583 |
0.99642 |
4.13291 |
4.67872 |
6.38937 |
Anything related to this leaderboard is developed and maintained by:
Section of Biomedical Image Analysis (SBIA)
Center for Biomedical Image Computing and Analytics (CBICA)