MILK10k 2025 Leaderboards

Lesion Diagnosis
Rank 79 total Team 79 unique teams Approach Manuscript Used External Data 14 yes Primary Metric Value Dice Coefficient
1
Trần Văn Đồng - Beast Team
Independant researchers
EfficientnetV2 + customized loss v9 add milk10 -
public Yes
0.654
2
Rohan Iyer
University of Minnesota
F1-Weighted Tuned Ensemble VI (ConvNeXt + Swin-V2) -
public_off No
0.609
3
Rohan Iyer + External Data
University of Minnesota
Dual Ensemble I -
public Yes
0.602
4
Sébastien Fischman
Damae Medical
Dermo only CNN updated -
public Yes
0.595
5
Fluffy Potato
 Medgemma (Medsiglip) -
public Yes
0.593
6
ENS
 Multi-Modal Swin V4 PT SM LA -
public Yes
0.560
7
DermaNet
DermaNet Team
DermaNet - No External -
public_off No
0.549
8
Sabancı University ENS491
 rare classes swin v2 -
public Yes
0.548
9
Sabancı University ENS491 Team
 rare classes swin -
public Yes
0.546
10
STRAWB_MILK
QMUL
ViT_ConvNext_Ensemble_v1.4 -
public Yes
0.538
11
AcuvizionAI Belgium
Independent Researcher (Kamran Soleimani)
AcuvizionAI Multi-Modal Fusion -
public_off No
0.538
12
Bajnok
 Milk10k swin and effnet -
public_off No
0.533
13
Multimodale
 Multimodal -
public_off No
0.532
14
PanDerm Team
AIM for Health Lab, Monash University
PanDerm V2 -
public_off No
0.524
15
Benjamin Bruch
Independent Researcher
Hybrid ViT-CNN Ensemble -
public Yes
0.522
16
Hongyuan Xie
Manchester Metropolitan University
Avg_Scale_Size_CNN -
public_off No
0.519
17
SkinVP
Sabanci university
Efficient_net_train_bothRare -
public Yes
0.506
18
PikaPika
KAIST
EfficientnetV2 + Metadata MLP Fusion -
public_off No
0.505
19
PawsMakeClickClick
Kharkiv National University of Radio Electronics
Derm_v2 -
public_off No
0.504
20
NoExternalData
 NoExternalData used -
public_off No
0.500
21
able_23
PEC Chandigarh
convnext_base + asl -
public_off No
0.499
22
SzaboAndrasBajnok
University of Szeged
Multimodal -
public_off No
0.496
23
Milk10k
 Swin v1 -
public_off No
0.495
24
JTeam
 dual_vision -
public_off No
0.495
25
Valor
BRAC University b
ConvNeXt +SwinV2 -
public_off No
0.495
26
BUPT
Beijing University of Posts and Telecommunications
MDCL-fold5 -
public_off No
0.491
27
Unknown
Hidden
Train 2 -
public_off No
0.489
28
Pedro Bento
 SwinV2 (tiny) - 2 epoch mid training -
public Yes
0.486
29
DL_2025.1_HUST
 PanDerm Tri-Modal Fusion -
public_off No
0.486
30
MDCL-SCRL-2
 MDCL-SCRL-FOLD3 -
public_off No
0.485
31
TmpMusty
Independent Researcher
EfficientNetV2 multimodal dumen -
public_off No
0.481
32
ManuelPla
UOC
Multimodal 1.9 -
public_off No
0.478
33
ElaheVisionX SkinAnalytics
 EffNetV2 -
public_off No
0.477
34
LIFE
Universidade Federal do Espírito Santo
Concatenation baseline custom loss -
public Yes
0.476
35
milkyway
Yonsei iie4123
sampler+customlossv4+v1 ensemble -
public_off No
0.473
36
MDCL-SCRL
 MDCL-SCRL-FOLD1 -
public_off No
0.471
37
MDCL-SCRL-all
 ALL -
public_off No
0.471
38
Nikshay Kataria
 convnext_512 -
public_off No
0.470
39
Rekura
 Concept bottleneck model for skin lesion classification description
public_off No
0.469
40
jmirtas
 jmirtas -
public_off No
0.466
41
SkinGuard
 ResNet50 -
public_off No
0.464
42
Huvy
 Volo D1 Remix -
public Yes
0.463
43
AK
HUST
CNN -
public_off No
0.462
44
Judy
BUAA
resnet50 -
public_off No
0.461
45
It Hurts When IP
Woxsen University
Densenet -
public_off No
0.459
46
d
 first fs -
public_off No
0.459
47
SZTE
 effnet_multi -
public_off No
0.457
48
Unknown2
Unknown
One fold -
public_off No
0.457
49
ZY
AHU
Dual_SwinTransformer -
public_off No
0.456
50
ENS-Group#2
Sabanci University
EfficientNetV2-S Multi-Label Dermoscopic Classifier -
public_off No
0.453
51
cheesenet
 Efficientnetv2 + custom loss + dynamics -
public_off No
0.447
52
Dhruval Padia
 Ensemble -
public_off No
0.444
53
John's Lab
Independent
Vision transformer - custom head - 6 -
public_off No
0.444
54
NIH NLM AI4M
National Institutes of Health, National Library of Medicine
Multimodal-Image-Text -
public_off No
0.442
55
CBML_UNIPI
University of Pireaus
EfficientNetV2S_DualFusion_Attention -
public_off No
0.439
56
Erdem Bozyel
 Ensemble v1 -
public Yes
0.437
57
Concat-four
 Concat-fold5 -
public_off No
0.436
58
Concat
 Concat-All -
public_off No
0.424
59
DBAA
Hanoi University of Science and Technology
AMMFA-skip -
public_off No
0.419
60
AIEM
Johns Hopkins University
CNN -
public_off No
0.419
61
Yhltmxh
TEMP
EfficientnetV2 -
public_off No
0.417
62
ZCU-FAV-KKY
University of West Bohemia
CAFormer18 -
public_off No
0.415
63
Soland
UET
EfficientNetV2 -
public_off No
0.413
64
SophiaMSCore_Systems
 ConvNeXt +SwinV2 -
public_off No
0.405
65
BUPT6
Beijing University of Posts and Telecommunications
ResNext-Pre-6 -
public_off No
0.402
66
GATV
UPM
Hiera Encoder -
public_off No
0.395
67
XRAI-Keele
Keele University
Swin-v2 with concept-guided cross-attention -
public_off No
0.389
68
slemanfaiz
 ResNet optimized -
public_off No
0.384
69
KW_HAU
Kwangwoon University
kw_test -
public_off No
0.374
70
ainum
 CLIP pretrained encoders with cross attention -
public_off No
0.366
71
David Nduonofit
Bowen University
EfficientNetV2S Multimodal fusion -
public_off No
0.346
72
BUPT3
Beijing University of Posts and Telecommunications
aa2 -
public_off No
0.323
73
BUPT5
Beijing University of Posts and Telecommunications
ResNext-OnlyImage -
public_off No
0.317
74
TestTeam
 TestModel -
public_off No
0.296
75
JMI SkinVision (Farhan khan)
Jamia Millia Islamia
Dual-EfficientNetV2 with Multi Modal Fusion -
public_off No
0.260
76
BUPT4
Beijing University of Posts and Telecommunications
ResNext-OnlyImage -
public_off No
0.239
77
skintell
 SkinTell -
public_off No
0.236
78
catalinapesquet
 MobileNet_clinical -
public_off No
0.200
79
fibers
Universitat Politècnica de Barcelona
First test -
public_off No
0.136