MILK10k 2025 Leaderboards

Rank 150 total Team 150 unique teams Approach Manuscript Used External Data 32 yes Primary Metric Value Dice Coefficient
1
Allegoria
Allegoria Inc.
Allegoria 3D-ViT v3 -
public Yes
0.705
2
Tmp
Tmp -
public Yes
0.669
3
Trần Văn Đồng - Beast Team
Independant researchers
EfficientnetV2 + customized loss v9 add milk10 -
public Yes
0.654
4
Sébastien Fischman
Damae Medical
Dermo Only Explainable CNN base -
public Yes
0.619
5
Rohan Iyer
University of Minnesota
F1-Weighted Tuned Ensemble VI (ConvNeXt + Swin-V2) -
public_off No
0.609
6
ENS
SwinV2 SSL 22K TTA -
public Yes
0.604
7
TmpMusty
Independent Researcher
SwinV2 Cross validation -
public Yes
0.597
8
Fluffy Potato
Medgemma (Medsiglip) v3 -
public Yes
0.593
9
ISP RAS
ISP RAS
a100_crt_byole093_top3_calib -
public Yes
0.569
10
ManuelPla
UOC
Multimodal V2.8H.1 -
public Yes
0.561
11
DermaNet
DermaNet Team
DermaNet - No External -
public_off No
0.549
12
Sabancı University ENS491
rare classes swin v2 -
public Yes
0.548
13
Michael
RIT
BioMedCLIP+Dino+OpenCLIP Finetune -
public_off No
0.545
14
YHL
Shanghai Ocean University
ConvNeXt_Base -
public_off No
0.545
15
German&Ruben
Universitat Politècnica de València
EfficientNetV2 5-fold LateFusion Metadata -
public_off No
0.541
16
STRAWB_MILK
QMUL
ViT_ConvNext_Ensemble_v1.5 -
public Yes
0.538
17
AcuvizionAI Belgium
Independent Researcher (Kamran Soleimani)
AcuvizionAI Multi-Modal Fusion -
public_off No
0.538
18
Rohan Iyer et al. Publication
University of Minnesota
PATO -
public_off No
0.534
19
Multimodale
Multimodal -
public_off No
0.528
20
SHOU
SHOU
convnext frz0.5 -
public_off No
0.525
21
PanDerm Team
AIM for Health Lab, Monash University
PanDerm V2 -
public_off No
0.524
22
Benjamin Bruch
Independent Researcher
Hybrid ViT-CNN Ensemble -
public Yes
0.522
23
Hongyuan Xie
Manchester Metropolitan University
Avg_Scale_Size_CNN -
public_off No
0.519
24
SzaboAndrasBajnok
University of Szeged
Multimodal -
public_off No
0.519
25
ENS-Group#2
Sabanci University
Convnext large -
public Yes
0.516
26
Team SSH07
University of Technology Sydney
DualView Rare-Aware Fusion -
public_off No
0.515
27
TempEA
Independent
v1b -
public Yes
0.513
28
Tran Thanh An 2
Panderm Loss + 5 fold -
public_off No
0.512
29
RCB
Ensemble -
public_off No
0.511
30
Ruben&German
Universitat Politecnica de Valencia
EfficientNetV2 FocalLoss+WeightedRandomSampler -
public_off No
0.511
31
Unstoppables
ConvNeXt-Base Rare-OS + EfficientNet-B0 Weighted Ensemble -
public Yes
0.508
32
SkinVP
Sabanci university
Efficient_net_train_bothRare -
public Yes
0.506
33
dikorax
CNN 5-fold -
public_off No
0.506
34
PikaPika
KAIST
EfficientnetV2 + Metadata MLP Fusion -
public_off No
0.505
35
PawsMakeClickClick
Kharkiv National University of Radio Electronics
Derm_v2 -
public_off No
0.504
36
Team Rocket
SwinV2 EMA 69 Dermo 42 -
public Yes
0.501
37
ZCU-FAV-KKY
University of West Bohemia
Swin V2 - v0.3 -
public Yes
0.501
38
able_23
PEC Chandigarh
convnext_base + asl -
public_off No
0.499
39
VisionX SkinAnalytics
EffNetV2 -
public_off No
0.498
40
JTeam
dual_vision -
public_off No
0.495
41
Valor
BRAC University b
ConvNeXt +SwinV2 -
public_off No
0.495
42
Team 1
VariousLoss
VariousLoss_EffNetV2 -
public_off No
0.493
43
Bahcesehir EAE
BahcesehirUniversity
EfficientnetV2 + Metadata + LogisticReg -
public_off No
0.493
44
BUPT
Beijing University of Posts and Telecommunications
MDCL-fold5 -
public_off No
0.491
45
d
SS -
public_off No
0.490
46
Arionkoder
Arionkoder
FusionSwAV-ConvNeXt-Ensemble -
public_off No
0.490
47
Unknown
Hidden
Train 2 -
public_off No
0.489
48
Group 3 Harry
SwinV2 + SmoothFocalLoss -
public_off No
0.489
49
Londoni ut
Londoni ut -
public_off No
0.488
50
FPT
FPT
efficient_net_b2 -
public Yes
0.487
51
Pedro Bento
SwinV2 (tiny) - 2 epoch mid training -
public Yes
0.486
52
DL_2025.1_HUST
PanDerm Tri-Modal Fusion -
public_off No
0.486
53
MDCL-SCRL-2
MDCL-SCRL-FOLD3 -
public_off No
0.485
54
alpha_2
mahatma gandhi institute of technology
EfficientNet-B4 dual-image -
public_off No
0.484
55
Milk10k
Swin v1 -
public_off No
0.484
56
yrk96temizlemeyeokultestgexe neg_05 onlytrain
neg 05? only train -
public_off No
0.482
57
Bajnok
Multimodal -
public_off No
0.481
58
Le
Duy
Effnetv2 -
public Yes
0.480
59
yrk96temizlemeyeokultestgexe neg_05
temizlemeyeokultestgexe neg 05 -
public_off No
0.479
60
testgexe 3 binary
testgexe 3 binary -
public_off No
0.477
61
LIFE
Universidade Federal do Espírito Santo
Concatenation baseline custom loss -
public Yes
0.476
62
SOLO
FPT University
ViTT -
public_off No
0.476
63
VPA Sabanci
Sabanci University
DinoV2 -
public_off No
0.475
64
convxnext
conxnext + fuse -
public Yes
0.475
65
temizlemeyeokul
30ar_patient_6_seed_42 -
public_off No
0.474
66
binary3
neg_05 -
public_off No
0.474
67
Trint
trintv12 -
public_off No
0.474
68
David Nduonofit
Bowen University
CNN + wrs -
public_off No
0.474
69
milkyway
Yonsei iie4123
sampler+customlossv4+v1 ensemble -
public_off No
0.473
70
new few
deneme chat -
public_off No
0.472
71
binary 2
temiz30 -
public_off No
0.472
72
MDCL-SCRL
MDCL-SCRL-FOLD1 -
public_off No
0.471
73
MDCL-SCRL-all
ALL -
public_off No
0.471
74
Arbit
d_medoid -
public_off No
0.471
75
jmirtas
jmirtas -
public_off No
0.471
76
Nikshay Kataria
convnext_512 -
public_off No
0.470
77
Rekura
Concept bottleneck model for skin lesion classification description
public_off No
0.469
78
testgexe 3 binary early
testgexe 3 binary early -
public_off No
0.469
79
RyHar Five
ResNet50 -
public_off No
0.468
80
08colabonlytraintemiz_lem
finalwithvaltrain -
public_off No
0.467
81
npc_2
Da nang
Effb2_metadata_loss -
public Yes
0.467
82
ikaros
Neural network with a dual Swin-T backbone -
public Yes
0.467
83
temizlemeyeokultestgexe
neg_07 -
public_off No
0.466
84
binary4
beg -
public_off No
0.466
85
GCY帅哥
EffNetB3-Dual-Meta-Focal -
public_off No
0.466
86
testgexe 2 binary 08gmail
3 binary -
public_off No
0.465
87
96colabonlytrain
96colabonlytrain ensemble -
public_off No
0.465
88
binary
binary yeniden -
public_off No
0.465
89
SkinGuard
ResNet50 -
public_off No
0.464
90
Pasta
hybrid -
public_off No
0.464
91
Huvy
Volo D1 Remix -
public Yes
0.463
92
AK
HUST
CNN -
public_off No
0.462
93
08colabonlytrain
08colabonlytrain -
public_off No
0.460
94
It Hurts When IP
Woxsen University
Densenet -
public_off No
0.459
95
Group 5 (2)
Single EfficientNet-B2 Baseline with Class-Balanced Focal Loss -
public_off No
0.457
96
Unknown2
Unknown
One fold -
public_off No
0.457
97
ZY
AHU
Dual_SwinTransformer -
public_off No
0.456
98
ds
ds -
public_off No
0.455
99
gr5
DualTransformer -
public_off No
0.451
100
testgexe 2 old
2 binary -
public_off No
0.448
101
cheesenet
Efficientnetv2 + custom loss + dynamics -
public_off No
0.447
102
96colabbase
96colabbase -
public_off No
0.446
103
Yhltmxh
TEMP
convnext 0 -
public_off No
0.445
104
Dhruval Padia
Ensemble -
public_off No
0.444
105
John's Lab
Independent
Vision transformer - custom head - 6 -
public_off No
0.444
106
testgexe
weighted base -
public_off No
0.443
107
NIH NLM AI4M
National Institutes of Health, National Library of Medicine
Multimodal-Image-Text -
public_off No
0.442
108
CBML_UNIPI
University of Pireaus
EfficientNetV2S_DualFusion_Attention -
public_off No
0.439
109
Erdem Bozyel
Ensemble v1 -
public Yes
0.437
110
Sam
Dual modality ConvNeXt and SwinV2 Ensemble -
public_off No
0.437
111
Concat-four
Concat-fold5 -
public_off No
0.436
112
Agov
University Of Genova
Ensemble of 5 EfficientNetB0 -
public_off No
0.435
113
SZTE
effnet_multi -
public_off No
0.434
114
cosine
cosine few -
public_off No
0.432
115
NoExternalData
NoExternalData used -
public_off No
0.431
116
Elixir
University of Texas Austin
ConvNext EffNet Ensemble -
public_off No
0.425
117
KW_HAU
Kwangwoon University
Test -
public_off No
0.425
118
Elixir_BCE
University of Texas Austin
ConNext Tiny and EffNet B2 -
public_off No
0.425
119
Concat
Concat-All -
public_off No
0.424
120
Tran Thanh An
Panderm (TranThanhAn2) -
public_off No
0.424
121
DermaNet + External Data
DermaNet
DermaNet - External Data -
public Yes
0.424
122
Harry
EfficientNetV2S -
public_off No
0.421
123
DBAA
Hanoi University of Science and Technology
AMMFA-skip -
public_off No
0.419
124
AIEM
Johns Hopkins University
CNN -
public_off No
0.419
125
Soland
UET
EfficientNetV2 -
public_off No
0.413
126
SophiaMSCore_Systems
ConvNeXt +SwinV2 -
public_off No
0.405
127
Piyush Kumar
University of Texas Austin
ConvNext and EffNet Ensemble -
public_off No
0.404
128
BUPT6
Beijing University of Posts and Telecommunications
ResNext-Pre-6 -
public_off No
0.402
129
GATV
UPM
Hiera Encoder -
public_off No
0.401
130
viyer
Unknown
EnsembleRaro -
public_off No
0.394
131
XRAI-Keele
Keele University
Swin-v2 with concept-guided cross-attention -
public_off No
0.389
132
AGC
UPO
Swim Transformer + Custom Loss -
public_off No
0.385
133
slemanfaiz
ResNet optimized -
public_off No
0.384
134
Raphael S
University of Leipzig
3 * DeiT + Bayesian net fusion (best f1, balanced sampler) -
public Yes
0.382
135
ainum
CLIP pretrained encoders with cross attention -
public_off No
0.366
136
Judy
BUAA
resnet50 -
public_off No
0.353
137
BUPT3
Beijing University of Posts and Telecommunications
aa2 -
public_off No
0.323
138
BUPT5
Beijing University of Posts and Telecommunications
ResNext-OnlyImage -
public_off No
0.317
139
ED-UMA
University of Malaga
Hybrid EfficientNetB0 -
public_off No
0.317
140
Harry Group 5
V2 ENet -
public_off No
0.313
141
Naschpitz's Team
No Name
Deep CNN, global average pooling, softmax classification, dropout regularization, data augmentation -
public_off No
0.306
142
TestTeam
TestModel -
public_off No
0.296
143
JMI SkinVision (Farhan khan)
Jamia Millia Islamia
Dual-EfficientNetV2 with Multi Modal Fusion -
public_off No
0.260
144
BUPT4
Beijing University of Posts and Telecommunications
ResNext-OnlyImage -
public_off No
0.239
145
skintell
SkinTell -
public_off No
0.236