ISIC Live Leaderboards

Rank 200 total Team 91 unique teams Approach Manuscript Used External Data 84 yes Primary Metric Value Balanced Accuracy
1
Minjie
123
ensemble b4 ce+fl+cepos+ds1 b3 ce -
public Yes
0.895
2
Minjie
123
ensemble b4 ce+fl +cepos+flpos b3 ce -
public Yes
0.895
3
Minjie
123
ensemble b4 ce+fl+cepos b3 ce -
public Yes
0.895
4
Minjie
123
ensemble2 fl+ce+ds1 -
public Yes
0.894
5
Minjie
123
ensemble b4 ce+fl+cepos+flpos b3 ce+cepos -
public Yes
0.893
6
Minjie
123
ENSEMBLE b4 ce+fl+cepos b3 ce+cepos -
public Yes
0.893
7
Minjie
123
ensemble b4 ce+fl+cepos b3 ce+cepos -
public Yes
0.893
8
Minjie
123
ensemble2, fl+ce -
public Yes
0.892
9
Minjie
123
effb4 test aug fl+ce -
public Yes
0.888
10
Minjie SingleModel Test
123
effb4 meta test aug1 ce posmeta pc0 -
public Yes
0.887
11
pioneer-skin
bnu
pioneer-skin2 -
public_off No
0.886
12
Minjie
123
ENSEMBLE b4 fl+cepos b3 cepos -
public Yes
0.885
13
Minjie
123
ensemble2 fl+ce posmeta -
public Yes
0.883
14
pioneer-skin
bnu
pioneer-skin3 -
public_off No
0.883
15
Minjie SingleModel Test
123
ffb4 test aug1 fl -
public Yes
0.883
16
Minjie SingleModel Test
123
effb4 meta test aug1 lbs -
public Yes
0.880
17
Minjie SingleModel Test
123
effb4 test aug1 fl meansoftmax -
public Yes
0.879
18
Minjie SingleModel Test
123
effb4 test aug1 -
public Yes
0.878
19
pioneer-skin
bnu
pioneer-skin -
public_off No
0.877
20
Minjie_SingleModel
123
ensemble4 -
public Yes
0.876
21
Minjie SingleModel Test
123
effb4 meta test aug1 fl posmeta pc0 -
public Yes
0.876
22
Minjie_SingleModel
123
effb4 meta test aug1c -
public Yes
0.875
23
Minjie_SingleModel
123
effb4 meta test aug1 pos rollback -
public Yes
0.875
24
MWNL
YAO
SINGLE_DCNN_CLS -
public_off No
0.875
25
Minjie SingleModel Test
123
effb4 test aug1 ms -
public Yes
0.875
26
Minjie SingleModel Test
123
effb3 meta test aug1 ce posmeta pc0 -
public Yes
0.875
27
Amirreza Mahbod et al.
TissueGnostics/ Medical University of Vienna
Ensemble description
public Yes
0.874
28
CIN
Discriminative Siamese -
public_off No
0.873
29
MCN
MRCN -
public_off No
0.873
30
CIN
111 -
public_off No
0.873
31
Amirreza Mahbod et al.
TissueGnostics/ Medical University of Vienna
CMPB_improved description
public Yes
0.872
32
Minjie_SingleModel
123
effb4 meta testaug1c 50 -
public Yes
0.871
33
Minjie
123
ensemble3 -
public Yes
0.871
34
txt
bnu
test2 description
public_off No
0.869
35
Minjie SingleModel Test
123
effb4 meta test aug1 ce + posmeta -
public Yes
0.868
36
Minjie SingleModel Test
123
effb3 meta test aug1 -
public Yes
0.867
37
Minjie_SingleModel
123
effb4 meta test aug1b -
public Yes
0.867
38
IPM_HPC_GROUP (Yousefzadeh M., ...)
IPM
Ensemble description
public Yes
0.866
39
Minjie SingleModel Test
123
effb4 meta test aug1 dse -
public Yes
0.866
40
Minjie
123
ensemble5 -
public Yes
0.865
41
good luck
example-try description
public_off No
0.865
42
Minjie_SingleModel
123
ensemble4a -
public Yes
0.864
43
Minjie SingleModel Test
123
effb3 meta test aug1 fl posmeta pc0 -
public Yes
0.864
44
Minjie
123
effb4 meta single -
public Yes
0.864
45
skin-caner-s-m
RW-CE-3.2G-DA -
public_off No
0.864
46
skin-caner-s-m
RW-CE-3.2G-2 -
public_off No
0.864
47
BISHENG
NewDCNN -
public Yes
0.861
48
Minjie SingleModel Test
123
effb3 meta test aug1 fl -
public Yes
0.860
49
Minjie_SingleModel
123
effb4 meta single -
public Yes
0.860
50
zeroone
RES -
public Yes
0.859
51
nobody
University of Science and Technology of China
xxx -
public Yes
0.859
52
skin-cancer-s-m
RW-CE-3.2G -
public_off No
0.859
53
BISHENG
JIU -
public Yes
0.859
54
dttt
bnu
dtttt0 description
public_off No
0.858
55
youyou
bnu
youyou1 description
public_off No
0.857
56
DAISYLab
Hamburg University of Technology
DAISYLabs 2018 Approach with adjusted softmax description
public Yes
0.856
57
DAISYLab
Hamburg University of Technology
No Meta Predictions description
public Yes
0.855
58
chongchong
bnu
fix scale2 description
public Yes
0.854
59
DAISYLabs
DAISYLabs
Only meta predictions description
public Yes
0.854
60
Minjie SingleModel Test
123
bit50 single -
public Yes
0.853
61
USTC MBIT
University of Science and Technology of China Lab for Multimodal Biomedical Imaging and Therapy
single model description
public_off No
0.853
62
IPM_HPC
IPM
Efficientnet_v2 description
public Yes
0.851
63
BISHENG
JIAJIA description
public Yes
0.851
64
auto
bnu
auto0 description
public_off No
0.849
65
Minjie SingleModel Test
123
effb4 meta single fl -
public Yes
0.849
66
nhor
EfficientNet 2 Models -
public_off No
0.847
67
test1
effb0_224 -
public Yes
0.846
68
IPM_HPC
IPM
Xception_v2 description
public Yes
0.846
69
IPM_HPC
IPM
Efficientnet description
public Yes
0.846
70
Termanteus
Ensemble_Testset_TTA -
public_off No
0.845
71
MBIT4
MBIT4 -
public_off No
0.845
72
IPM_HPC
IPM
Xception description
public Yes
0.843
73
Medical Image Analysis Group
University of Information Technology - HCMC VNU
Essem DenEff -
public_off No
0.843
74
skinai_1
starter description
public_off No
0.843
75
HellHound
AS_DF -
public Yes
0.842
76
aa
aa
util description
public_off No
0.842
77
aa
aa
re description
public_off No
0.842
78
Medical Image Analysis Group_
University of Information Technology - HCMC VNU
Essem DenEff -
public_off No
0.842
79
txt
bnu
done30 description
public_off No
0.842
80
MBIT6
MBIT6 -
public_off No
0.841
81
Medical Image Analysis Group
University of Information Technology - HCMC VNU
Essem EffEff -
public_off No
0.841
82
16521170_3
Vietnam National University Ho Chi Minh City, University of Information Technology
EffNet -
public_off No
0.841
83
skinai_3
starter description
public_off No
0.840
84
Minjie SingleModel Test
123
effb4 no meta test aug1 -
public Yes
0.840
85
rhono
rhono
EfficientNet 2 models -
public_off No
0.839
86
9th
9th
meta2b -
public_off No
0.839
87
Minjie SingleModel Test
123
effb4 meta single SSL -
public Yes
0.839
88
beyond
Yunnan University
Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification -
public Yes
0.837
89
Minjie SingleModel Test
123
bit101 single -
public Yes
0.836
90
Mahbod et al.
Single model -
public_off No
0.836
91
skinai_2
starter description
public_off No
0.836
92
heron
University of Science and Technology of China
Convolution Test -
public_off No
0.836
93
Minjie_SingleModel
123
effb4 single -
public Yes
0.836
94
9th
9th
meta2d -
public_off No
0.836
95
IPA_test
IPA_test
effb0_260 -
public Yes
0.835
96
9th
9th
meta2c -
public_off No
0.835
97
prashant
prashant
dense35 -
public_off No
0.835
98
ISICTEAM
NUB
dcnn description
public_off No
0.835
99
test
test
ememble3networks description
public_off No
0.835
100
testt
ensemble2019 -
public_off No
0.835
101
wxd
BNU
wxd description
public_off No
0.834
102
XDJY
BNU
XDJY description
public_off No
0.834
103
Minjie SingleModel Test
123
effb4 meta test aug1 naug ce -
public Yes
0.834
104
del2
new recall -
public_off No
0.834
105
the end
recall_10 -
public_off No
0.834
106
magnificent minds
recall_10 -
public_off No
0.834
107
AImageLab & PRHLT
Unimore & UPV
baseline_0_CDE description
public_off No
0.834
108
Minjie
123
effb4 single SSL -
public Yes
0.834
109
Cardiff
Test model -
public Yes
0.834
110
AImageLab & PRHLT
Unimore & UPV
baseline_2_CDE description
public_off No
0.834
111
HellHound
AS_NV -
public Yes
0.833
112
magnificent minds
last approch -
public_off No
0.833
113
AImageLab & PRHLT
Unimore & UPV
baseline_1_DE description
public_off No
0.833
114
inshaaallaa
all_for_one -
public_off No
0.833
115
the end
average_14 -
public_off No
0.833
116
HellHound
AS_AKIEC -
public Yes
0.833
117
ZMT
b'nu
ZMT description
public_off No
0.833
118
nhor
EfficientNet Single BA -
public_off No
0.833
119
AImageLab & PRHLT
Unimore & UPV
baseline_1_CDE description
public_off No
0.833
120
AImageLab & PRHLT
Unimore & UPV
baseline_1_CDE_CO description
public_off No
0.833
121
MAY
b'nu
MAY description
public_off No
0.832
122
heavy en
14_recall -
public_off No
0.832
123
9th
9th
effb4 aug -
public_off No
0.832
124
aa
aa
se description
public_off No
0.832
125
AImageLab & PRHLT
Unimore & UPV
baseline_0_DE description
public_off No
0.831
126
kevin
kevin
test description
public_off No
0.831
127
DAISYLab
Hamburg University of Technology
Full Train description
public Yes
0.831
128
9th
9th
with meta embedding -
public_off No
0.831
129
9th
9th
meta2 -
public_off No
0.831
130
jujuju
vgg -
public_off No
0.831
131
ViDIR Group, Medical University of Vienna
ViDIR Group, Medical University of Vienna
TV-EffNetB0 448px, onlyMUW&nonpig&Aky&cc-by(man-pslab), maxTVaug 5xCV F3 LastEp -
public Yes
0.830
132
SuperComputer
EfficientNetB0 with limited augmentation -
public_off No
0.830
133
ensemble111
ensemble111
t -
public Yes
0.830
134
ViDIR Group, Medical University of Vienna
ViDIR Group, Medical University of Vienna
ResNet50, 448, FreeMuwDat, maxTVaug, F2 last -
public Yes
0.830
135
16521170
Vietnam National University Ho Chi Minh City, University of Information Technology
Essem -
public_off No
0.830
136
Essem 1652
Essem Dense+ Essem Inception -
public_off No
0.829
137
new_non_seg_en
non_seg_recall_7bst_en -
public_off No
0.829
138
inshaaallaa
all_for_one_10 -
public_off No
0.829
139
the end
average_10 -
public_off No
0.829
140
IPM
single model description
public Yes
0.829
141
nhor
EfficientNet Single FA -
public_off No
0.829
142
WIN
BNU
WIN description
public_off No
0.828
143
Minjie_SingleModel
123
resnet50 meta single -
public Yes
0.828
144
HellHound
AS_VASC -
public Yes
0.827
145
Minjie
123
effb4 BNN single -
public Yes
0.827
146
Melanoma: imaging, genetics and immunology
Hospital Clínic de Barcelona
Baseline EffNet-b2 -
public_off No
0.827
147
Medical Image Analysis Group_
University of Information Technology - HCMC VNU
Essem Eff -
public_off No
0.826
148
del
new recall -
public_off No
0.826
149
the end
recall_14 -
public_off No
0.826
150
MBIT-14
MBIT-14 -
public_off No
0.826
151
del2
all_leave_no_best -
public_off No
0.826
152
UCMBIT2
UCMBIT2 -
public_off No
0.826
153
9th
9th
meta lbce -
public_off No
0.825
154
IPA_test
IPA_test
effb1_240 -
public Yes
0.825
155
dddd
bnu
ddd0 description
public_off No
0.825
156
MBIT5
MBIT5 -
public_off No
0.825
157
zeroone
ONEMODEL -
public Yes
0.824
158
HellHound
AS_B -
public Yes
0.824
159
inshaaallaa
non_seg5 -
public_off No
0.824
160
skin
jd
skin-try1 description
public_off No
0.824
161
maak
all_but_best -
public_off No
0.824
162
Med
Med
emsemble description
public_off No
0.824
163
ViDIR Group, Medical University of Vienna
ViDIR Group, Medical University of Vienna
ResNet50 448px, onlyMUW&nonpig&Aky&cc-by(man-pslab), maxTVaug 5xCV single best fold (last epoch) -
public Yes
0.824
164
heavy en
6_recall -
public_off No
0.824
165
aa
aa
tta+18 description
public_off No
0.824
166
Termanteus
Ensemble_Testset_TTA_3 -
public_off No
0.824
167
RPAI_Lab
CUHK
for test -
public_off No
0.824
168
AImageLab & PRHLT
Unimore & UPV
baseline_0 description
public_off No
0.823
169
MBIT17
MBIT17 -
public_off No
0.823
170
new_non_seg_en
non_seg_recall_5bst_en -
public_off No
0.823
171
NHA
xxx
ensemble -
public_off No
0.823
172
IPA_test
IPA_test
res18_effb0_82 -
public Yes
0.823
173
recall_t
5_models_non_seg -
public_off No
0.823
174
chongchong
bnu
fix scale description
public Yes
0.823
175
Mahbod et al.
effb0 -
public Yes
0.823
176
youyou
bnu
youyou0 description
public_off No
0.822
177
AImageLab & PRHLT
Unimore & UPV
baseline_0_CE description
public_off No
0.822
178
MBIT3
MBIT3 -
public_off No
0.822
179
AImageLab & PRHLT
Unimore & UPV
baseline_1 description
public_off No
0.822
180
IPA_test
IPA_test
res_18_448_600 -
public Yes
0.821
181
UCMBIT1
UCMBIT1 -
public_off No
0.821
182
heavy en
14_avg -
public_off No
0.821
183
HellHound
AS_BKL -
public Yes
0.821
184
BZJ
b'nu
BZJ description
public_off No
0.821
185
ViDIR Group, Medical University of Vienna
ViDIR Group, Medical University of Vienna
ResNet34 5-fold CV ensemble (last epoch) description
public Yes
0.821
186
MBIT-13
MBIT-13 -
public_off No
0.820
187
USTC_MBIT
university of science and technology of china
USTC_MBIT -
public_off No
0.819
188
comeon
b'nu
comeon2 description
public_off No
0.819
189
magnificent minds
all_for_one_6 -
public_off No
0.819
190
the end
average_6 -
public_off No
0.819
191
crossval
crossval
densenet v5 -
public_off No
0.819
192
heavy en
10_recall -
public_off No
0.819
193
ISC
xxx
Efficientnet -
public_off No
0.819
194
Mahbod et al.
effb0_448 -
public Yes
0.819
195
gg
gg
test15 description
public_off No
0.818
196
bb
bb
default description
public_off No
0.818
197
crossval
crossval
densenet v7 -
public_off No
0.818
198
recall_t
3_models_non_seg -
public_off No
0.818
199
crossval
crossval
densenet v8 -
public_off No
0.817
200
9th
9th
embedding meta2 -
public_off No
0.817