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[- Training Phase Leaderboard 2018 -]
Last update: Mon Jul 29 19:33:07 EDT 2019, next update at Mon Jul 29 20:33:07 EDT 2019
This is an unranked leaderboard of the participating teams in BraTS 2018. 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 |
radiomics-miu |
285 |
4 |
0.83488 |
0.90734 |
0.88958 |
0.85971 |
0.8934 |
0.92472 |
0.99803 |
0.99522 |
0.99607 |
3.13675 |
4.24149 |
5.83516 |
MexExe |
285 |
18 |
0.59487 |
0.83989 |
0.73335 |
0.78378 |
0.91851 |
0.84519 |
0.99469 |
0.98351 |
0.99165 |
11.696 |
8.96863 |
14.66773 |
UCSBVRL |
285 |
45 |
0.73311 |
0.90619 |
0.80096 |
0.80475 |
0.91241 |
0.80451 |
0.9978 |
0.99422 |
0.99664 |
5.15857 |
5.21139 |
6.83915 |
SduBME |
285 |
4 |
0.68428 |
0.89912 |
0.86772 |
0.81677 |
0.88683 |
0.85932 |
0.99692 |
0.99528 |
0.99744 |
5.32635 |
5.55958 |
5.10478 |
TRAP |
285 |
2 |
0.71936 |
0.85285 |
0.84002 |
0.82032 |
0.87176 |
0.8612 |
0.99833 |
0.99533 |
0.99792 |
11.06769 |
91.88193 |
103.35157 |
NIC-VICOROB |
285 |
5 |
0.61094 |
0.71443 |
0.66821 |
0.72906 |
0.87885 |
0.74736 |
0.99554 |
0.96095 |
0.98724 |
32.97148 |
57.34183 |
48.7222 |
NICA |
40 |
3 |
0.83825 |
0.90603 |
0.911 |
0.87421 |
0.89252 |
0.93465 |
0.99613 |
0.99567 |
0.99795 |
4.06236 |
6.26825 |
7.1202 |
liulc4 |
285 |
2 |
0.71206 |
0.89438 |
0.85456 |
0.8531 |
0.86244 |
0.89249 |
0.99782 |
0.99659 |
0.99671 |
4.46295 |
5.62914 |
6.04702 |
SUSTech |
285 |
4 |
0.70489 |
0.89934 |
0.84037 |
0.76657 |
0.88569 |
0.85001 |
0.99833 |
0.99559 |
0.99674 |
5.90781 |
5.60224 |
6.91403 |
NPU-SAIIP |
54 |
3 |
0.61309 |
0.82117 |
0.72707 |
0.83009 |
0.88689 |
0.74599 |
0.99542 |
0.9868 |
0.99603 |
41.47998 |
47.23813 |
41.14347 |
lefko |
155 |
21 |
0.87983 |
0.9125 |
0.911 |
0.87964 |
0.88201 |
0.88117 |
0.99823 |
0.99723 |
0.99888 |
3.43284 |
4.72121 |
5.43369 |
Stroer |
285 |
8 |
0.7431 |
0.91241 |
0.87214 |
0.82392 |
0.9045 |
0.86129 |
0.99841 |
0.99524 |
0.99728 |
4.3589 |
4.83464 |
4.9634 |
OUCVISION |
210 |
1 |
0.18192 |
0.78135 |
0.36969 |
0.14305 |
0.77044 |
0.50569 |
0.99893 |
0.99177 |
0.97498 |
18.42087 |
14.73193 |
26.29762 |
MSHH |
285 |
2 |
0.84615 |
0.94288 |
0.92584 |
0.82434 |
0.9159 |
0.90861 |
0.99919 |
0.99827 |
0.99836 |
1.94498 |
1.73871 |
1.81606 |
PVG_cim |
285 |
6 |
0.68803 |
0.88515 |
0.78759 |
0.77535 |
0.87171 |
0.79935 |
0.99759 |
0.99485 |
0.99597 |
6.88679 |
7.25443 |
8.73308 |
Rupal |
285 |
1 |
0.69673 |
0.86249 |
0.79905 |
0.65137 |
0.81167 |
0.73723 |
0.99926 |
0.99622 |
0.99759 |
5.13355 |
8.26882 |
7.57517 |
We |
29 |
2 |
0.64008 |
0.87917 |
0.73829 |
0.72781 |
0.87335 |
0.74588 |
0.99707 |
0.99462 |
0.99529 |
13.45764 |
12.65258 |
16.06192 |
YNUDLG |
285 |
4 |
0.76769 |
0.9102 |
0.86759 |
0.82239 |
0.91821 |
0.87854 |
0.99838 |
0.99445 |
0.99712 |
3.97428 |
6.87768 |
4.84113 |
MIC-DKFZ |
285 |
31 |
0.72339 |
0.90303 |
0.83551 |
0.81028 |
0.89493 |
0.84753 |
0.99808 |
0.99531 |
0.99621 |
4.60011 |
5.35881 |
6.02563 |
ECONIB |
285 |
26 |
0.73649 |
0.92682 |
0.8779 |
0.84829 |
0.92392 |
0.88907 |
0.99805 |
0.99558 |
0.99733 |
4.53537 |
3.67145 |
4.79394 |
Mathical |
210 |
1 |
0.7268 |
0.8997 |
0.87968 |
0.77569 |
0.91292 |
0.86385 |
0.99522 |
0.99247 |
0.99809 |
3.80519 |
4.06755 |
3.06386 |
WAIR |
285 |
1 |
0.70913 |
0.86477 |
0.81703 |
0.76651 |
0.8902 |
0.8303 |
0.9978 |
0.991 |
0.99533 |
7.70883 |
17.51059 |
13.82664 |
MedLabs |
285 |
1 |
0.72651 |
0.90686 |
0.86827 |
0.8374 |
0.89957 |
0.85817 |
0.99787 |
0.9951 |
0.99731 |
4.81241 |
5.34302 |
5.64333 |
QMENTA |
285 |
1 |
0.69589 |
0.8901 |
0.79031 |
0.79091 |
0.89281 |
0.75781 |
0.99716 |
0.99341 |
0.99723 |
6.35338 |
9.2092 |
8.5973 |
sid |
85 |
1 |
0.661 |
0.85466 |
0.79064 |
0.69755 |
0.9442 |
0.84053 |
0.9968 |
0.98139 |
0.99396 |
6.83216 |
11.68252 |
10.91145 |
UoNCVL |
285 |
3 |
0.00923 |
0.05884 |
0.02322 |
0.00982 |
0.05137 |
0.02239 |
0.9922 |
0.95926 |
0.98251 |
89.53128 |
77.68941 |
90.0033 |
LfB_RWTH |
39 |
2 |
0.7638 |
0.86008 |
0.81721 |
0.74767 |
0.78422 |
0.78764 |
0.99818 |
0.99872 |
0.9988 |
5.6379 |
7.00889 |
7.88382 |
Focus |
111 |
3 |
0.67734 |
0.88642 |
0.82037 |
0.7715 |
0.86883 |
0.81199 |
0.99796 |
0.99452 |
0.9965 |
9.66761 |
12.44063 |
11.9852 |
kwlau |
5 |
31 |
0.84945 |
0.89219 |
0.87933 |
0.81636 |
0.85306 |
0.81564 |
0.99846 |
0.99636 |
0.99933 |
1.76569 |
4.02786 |
2.74719 |
LIVIA-ETS |
285 |
2 |
0.69834 |
0.84753 |
0.80133 |
0.78761 |
0.87708 |
0.78147 |
0.99789 |
0.99112 |
0.99712 |
16.1857 |
33.01177 |
21.01131 |
inpm |
118 |
4 |
0.64561 |
0.79776 |
0.66056 |
0.6436 |
0.79981 |
0.63997 |
0.9985 |
0.99141 |
0.99673 |
7.42151 |
27.91965 |
12.30535 |
IML |
285 |
45 |
0.82773 |
0.94933 |
0.93539 |
0.86102 |
0.93564 |
0.91893 |
0.99902 |
0.99784 |
0.99878 |
2.30339 |
5.02199 |
2.70267 |
naomi |
283 |
10 |
0.63227 |
0.78994 |
0.7024 |
0.73323 |
0.77764 |
0.68526 |
0.99686 |
0.9896 |
0.99585 |
13.33209 |
33.03826 |
26.6894 |
HFHS |
210 |
2 |
0.90385 |
0.91465 |
0.95192 |
0.90541 |
0.91579 |
0.94367 |
0.99874 |
0.99426 |
0.99917 |
4.66471 |
5.31933 |
4.7839 |
BraTS_Organizer |
285 |
8 |
1.0 |
1.0 |
1.0 |
1.0 |
1.0 |
1.0 |
1.0 |
1.0 |
1.0 |
0.0 |
0.0 |
0.0 |
SMME-NUST |
1 |
1 |
0.00055 |
0.00235 |
0.00123 |
0.00028 |
0.0012 |
0.00064 |
0.99956 |
0.99832 |
0.99875 |
86.58349 |
85.44004 |
145.36316 |
GlameGo |
210 |
1 |
0.03495 |
0.12774 |
0.06393 |
0.9097 |
0.99573 |
0.96631 |
0.15499 |
0.04753 |
0.11217 |
91.64242 |
82.16083 |
95.66047 |
TeamyMcTeamface |
285 |
1 |
0.7332 |
0.89633 |
0.75292 |
0.84265 |
0.88636 |
0.73297 |
0.99781 |
0.99531 |
0.99833 |
6.20545 |
5.14866 |
8.47618 |
RIM |
285 |
9 |
0.65015 |
0.81802 |
0.82233 |
0.68258 |
0.83215 |
0.84664 |
0.99819 |
0.98752 |
0.99392 |
5.76378 |
16.10773 |
6.0635 |
BigS2 |
285 |
1 |
0.76329 |
0.91066 |
0.87845 |
0.82223 |
0.88274 |
0.8935 |
0.99818 |
0.99696 |
0.99667 |
4.19301 |
4.63412 |
4.43938 |
wangjuan |
28 |
1 |
0.561819642857 |
0.854543214286 |
0.742715 |
0.735489545455 |
0.888378214286 |
0.730876428571 |
0.962560357143 |
0.955039285714 |
0.961777142857 |
99.1143185714 |
9.87821035714 |
11.6387542857 |
IUST_Team2018 |
1 |
1 |
0.93065 |
0.55981 |
0.95071 |
0.96815 |
0.389 |
0.9571 |
0.99965 |
0.99999 |
0.99981 |
2.82843 |
9.69536 |
1.0 |
Cndot |
285 |
1 |
0.81189 |
0.91493 |
0.87627 |
0.82865 |
0.91253 |
0.88738 |
0.99831 |
0.99517 |
0.99642 |
4.06583 |
4.29807 |
4.63958 |
NJUPT |
16 |
3 |
0.76628 |
0.86799 |
0.74808 |
0.74307 |
0.8206 |
0.76577 |
0.99797 |
0.99743 |
0.99733 |
6.98288 |
9.01036 |
11.34216 |
N-GAN |
285 |
1 |
0.13861 |
0.69766 |
0.22633 |
0.36264 |
0.86949 |
0.55617 |
0.97186 |
0.94722 |
0.95072 |
22.63754 |
12.19222 |
22.22199 |
DeepRad |
285 |
6 |
0.09474 |
0.89673 |
0.53115 |
0.09474 |
0.88321 |
0.94476 |
1.0 |
0.99511 |
0.95992 |
6.57854 |
20.43331 |
JiNanUniversity |
4 |
8 |
0.0 |
0.63998 |
0.34932 |
0.0 |
0.58231 |
0.85188 |
1.0 |
0.99009 |
0.9604 |
24.24835 |
50.01638 |
CSU |
285 |
14 |
0.68359 |
0.89798 |
0.82416 |
0.75775 |
0.88821 |
0.80411 |
0.99775 |
0.99464 |
0.99717 |
5.93007 |
4.99759 |
5.8618 |
ANOOY |
1 |
2 |
1.0 |
1.0 |
1.0 |
1.0 |
1.0 |
1.0 |
1.0 |
1.0 |
1.0 |
0.0 |
0.0 |
0.0 |
tzhou |
57 |
5 |
0.64061 |
0.88358 |
0.83896 |
0.75611 |
0.93564 |
0.83963 |
0.99822 |
0.98836 |
0.9963 |
5.00602 |
7.06496 |
9.09082 |
Deep_Rad_UCSF |
285 |
1 |
0.70483 |
0.88708 |
0.79978 |
0.77935 |
0.88403 |
0.79929 |
0.9977 |
0.99397 |
0.99626 |
6.47724 |
10.88957 |
10.54579 |
biyoner |
57 |
7 |
0.68021 |
0.83829 |
0.75133 |
0.72845 |
0.80975 |
0.72067 |
0.99827 |
0.99606 |
0.99783 |
6.97506 |
14.96043 |
11.89379 |
LSA |
285 |
3 |
0.82806 |
0.91911 |
0.88761 |
0.84141 |
0.91274 |
0.89804 |
0.99823 |
0.99543 |
0.99627 |
3.6859 |
3.56711 |
3.80626 |
Xidian |
285 |
1 |
0.7004 |
0.90115 |
0.84461 |
0.80615 |
0.91343 |
0.85325 |
0.99786 |
0.99387 |
0.99688 |
6.07975 |
5.41678 |
6.19391 |
AbnerHe |
1 |
2 |
0.69263 |
0.90406 |
0.8858 |
0.59151 |
0.94276 |
0.91851 |
0.99839 |
0.99167 |
0.9966 |
3.60555 |
4.24264 |
8.52051 |
ZhiyuanXue |
149 |
9 |
0.72211 |
0.85263 |
0.78849 |
0.8188 |
0.88981 |
0.83266 |
0.99715 |
0.99044 |
0.99588 |
6.30255 |
10.5781 |
12.8563 |
AIHAM_HPI_SAP |
283 |
2 |
0.547625689046 |
0.634170141343 |
0.59536155477 |
0.493749850746 |
0.513574522968 |
0.496438621908 |
0.99582130742 |
0.993920671378 |
0.995888303887 |
51.3120055124 |
19.9772932155 |
31.5485174558 |
CSU_CJH |
285 |
3 |
0.81868 |
0.90455 |
0.87651 |
0.80813 |
0.89703 |
0.85707 |
0.99825 |
0.99507 |
0.99781 |
3.59949 |
4.71181 |
4.13327 |
thesis |
285 |
6 |
0.2579 |
0.61782 |
0.29183 |
0.31353 |
0.73291 |
0.37997 |
0.98601 |
0.96173 |
0.97149 |
62.41561 |
57.89184 |
66.31511 |
Oncoray |
285 |
39 |
0.71855 |
0.83197 |
0.77819 |
0.75444 |
0.80948 |
0.77634 |
0.99806 |
0.99244 |
0.99628 |
7.36377 |
13.62524 |
10.77449 |
FDUKS |
2 |
2 |
1.0 |
1.0 |
1.0 |
1.0 |
1.0 |
1.0 |
1.0 |
1.0 |
1.0 |
0.0 |
0.0 |
0.0 |
IIITDM |
285 |
5 |
0.35224 |
0.44666 |
0.31876 |
0.81305 |
0.92907 |
0.75519 |
0.96947 |
0.839 |
0.91766 |
80.38282 |
70.43678 |
83.11083 |
Testing18 |
9 |
1 |
1.0 |
1.0 |
1.0 |
1.0 |
1.0 |
1.0 |
1.0 |
1.0 |
1.0 |
0.0 |
0.0 |
0.0 |
UNet_3D_test |
1 |
5 |
0.67499 |
0.43931 |
0.48133 |
0.54211 |
0.4819 |
0.54397 |
0.99911 |
0.97188 |
0.97803 |
46.49086 |
33.61547 |
28.07846 |
Anything related to this leaderboard is developed and maintained by:
Section of Biomedical Image Analysis (SBIA)
Center for Biomedical Image Computing and Analytics (CBICA)