ISIC Live Leaderboards
2020: SIIM-ISIC Melanoma Classification
2019: Lesion Diagnosis
2018.3: Lesion Diagnosis
2018.2: Lesion Attribute Detection
2018.1: Lesion Boundary Segmentation
Rank 45 total | Team 5 unique teams | Approach | Manuscript | Used External Data 0 yes | Primary Metric Value Jaccard Index | |
---|---|---|---|---|---|---|
1 |
NMN_team (Jahanifar-Zamani-Alemi)
NMN_team (Jahanifar-Zamani-Alemi)
|
ensembleALL_MeRep_withSegmentation | description |
public_off
No
|
0.307 | |
|
||||||
2 |
NMN_team (Jahanifar-Zamani-Alemi)
NMN_team (Jahanifar-Zamani-Alemi)
|
attributes_ensembleALL_withSegmentation | description |
public_off
No
|
0.307 | |
|
||||||
3 |
szu
szu
|
dfn-18-flip | - |
public_off
No
|
0.276 | |
|
||||||
4 |
szu
szu
|
dfn-nn-noflip | - |
public_off
No
|
0.275 | |
|
||||||
5 |
szu
szu
|
unet-sp-milia-flip-fix | - |
public_off
No
|
0.261 | |
|
||||||
6 |
szu
szu
|
unet-sp-milia-hls | - |
public_off
No
|
0.260 | |
|
||||||
7 |
szu
szu
|
unet-sp-all | - |
public_off
No
|
0.259 | |
|
||||||
8 |
szu
szu
|
unet-milia-sp | - |
public_off
No
|
0.259 | |
|
||||||
9 |
szu
szu
|
unet-all-xflip | - |
public_off
No
|
0.255 | |
|
||||||
10 |
szu
szu
|
unet-nn-streaks | - |
public_off
No
|
0.255 | |
|
||||||
11 |
szu
szu
|
dfn-nn | - |
public_off
No
|
0.255 | |
|
||||||
12 |
szu
szu
|
unet-sp-pig-2 | - |
public_off
No
|
0.248 | |
|
||||||
13 |
szu
szu
|
unet-sp-milia-flip | - |
public_off
No
|
0.238 | |
|
||||||
14 |
szu
szu
|
unet-milia | - |
public_off
No
|
0.238 | |
|
||||||
15 |
Alceu Bissoto
Alceu Bissoto
|
Deeplab Baseline | - |
public_off
No
|
0.237 | |
|
||||||
16 |
szu
szu
|
unet-enc-milia | - |
public_off
No
|
0.235 | |
|
||||||
17 |
szu
szu
|
unet-sp-pig-sug | - |
public_off
No
|
0.234 | |
|
||||||
18 |
szu
szu
|
unet-streak-bce-ja | - |
public_off
No
|
0.211 | |
|
||||||
19 |
szu
szu
|
unet-streak-no-flip | - |
public_off
No
|
0.211 | |
|
||||||
20 |
szu
szu
|
unet-aug-bce+ja | - |
public_off
No
|
0.202 | |
|
||||||
21 |
hexinzi yuzhen leibaiying
hexinzi yuzhen leibaiying
|
rethink superpixels | - |
public_off
No
|
0.201 | |
|
||||||
22 |
hexinzi_yuzhen
hexinzi_yuzhen
|
DAnet | - |
public_off
No
|
0.190 | |
|
||||||
23 |
szu
szu
|
unet-aug-test-3a | - |
public_off
No
|
0.174 | |
|
||||||
24 |
Alceu Bissoto
Alceu Bissoto
|
DeepLab V3+ model with weight 10 | - |
public_off
No
|
0.154 | |
|
||||||
25 |
Alceu Bissoto
Alceu Bissoto
|
Deeplab Weight 10, 80.000 steps | - |
public_off
No
|
0.154 | |
|
||||||
26 |
szu
szu
|
resunet-1024x768 | - |
public_off
No
|
0.146 | |
|
||||||
27 |
szu
szu
|
bisenet | - |
public_off
No
|
0.135 | |
|
||||||
28 |
szu
szu
|
unet-aug-v2-lr-ud | - |
public_off
No
|
0.095 | |
|
||||||
29 |
szu
szu
|
unet-aug-flip-lr-ud-pig | - |
public_off
No
|
0.093 | |
|
||||||
30 |
szu
szu
|
unet-aug-flip-lr | - |
public_off
No
|
0.093 | |
|
||||||
31 |
szu
szu
|
unet-aug-v2 | - |
public_off
No
|
0.092 | |
|
||||||
32 |
szu
szu
|
superpixel_network | - |
public_off
No
|
0.092 | |
|
||||||
33 |
szu
szu
|
without_CBAM | - |
public_off
No
|
0.092 | |
|
||||||
34 |
szu
szu
|
unet-aug-pig-dense-lrud | - |
public_off
No
|
0.088 | |
|
||||||
35 |
szu
szu
|
pigment_cbam_cl_sp | - |
public_off
No
|
0.083 | |
|
||||||
36 |
szu
szu
|
unet-test-flip-lr | - |
public_off
No
|
0.082 | |
|
||||||
37 |
szu
szu
|
unet-milia-know | - |
public_off
No
|
0.082 | |
|
||||||
38 |
szu
szu
|
resunet | - |
public_off
No
|
0.081 | |
|
||||||
39 |
szu
szu
|
pig_FCN | - |
public_off
No
|
0.078 | |
|
||||||
40 |
szu
szu
|
fcn32s_with_aug | - |
public_off
No
|
0.077 | |
|
||||||
41 |
szu
szu
|
Resunet-with-classification-loss | - |
public_off
No
|
0.077 | |
|
||||||
42 |
szu
szu
|
unet-flip-test | - |
public_off
No
|
0.076 | |
|
||||||
43 |
szu
szu
|
fcn_sp | - |
public_off
No
|
0.070 | |
|
||||||
44 |
szu
szu
|
pspnet-pig | - |
public_off
No
|
0.067 | |
|
||||||
45 |
szu
szu
|
unet-gl-aug | - |
public_off
No
|
0.050 | |
|