MILK10k 2025 Leaderboards

Rank 84 total Team 84 unique teams Approach Manuscript Used External Data 15 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
Sébastien Fischman
Damae Medical
Dermo Only Explainable CNN base -
public Yes
0.603
4
Fluffy Potato
Medgemma (Medsiglip) v3 -
public Yes
0.593
5
Allegoria
Allegoria Inc.
Allegoria 3D-ViT -
public Yes
0.578
6
Sabancı University ENS491 Team
SwinV2 Ensemble rare sharpen -
public Yes
0.578
7
ENS
Multi-Modal Swin V4 PT SM LA -
public Yes
0.560
8
DermaNet
DermaNet Team
DermaNet - No External -
public_off No
0.549
9
Sabancı University ENS491
rare classes swin v2 -
public Yes
0.548
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
PanDerm Team
AIM for Health Lab, Monash University
PanDerm V2 -
public_off No
0.524
13
Benjamin Bruch
Independent Researcher
Hybrid ViT-CNN Ensemble -
public Yes
0.522
14
Hongyuan Xie
Manchester Metropolitan University
Avg_Scale_Size_CNN -
public_off No
0.519
15
Multimodale
Multimodal -
public_off No
0.508
16
SkinVP
Sabanci university
Efficient_net_train_bothRare -
public Yes
0.506
17
PikaPika
KAIST
EfficientnetV2 + Metadata MLP Fusion -
public_off No
0.505
18
PawsMakeClickClick
Kharkiv National University of Radio Electronics
Derm_v2 -
public_off No
0.504
19
able_23
PEC Chandigarh
convnext_base + asl -
public_off No
0.499
20
JTeam
dual_vision -
public_off No
0.495
21
Valor
BRAC University b
ConvNeXt +SwinV2 -
public_off No
0.495
22
BUPT
Beijing University of Posts and Telecommunications
MDCL-fold5 -
public_off No
0.491
23
Unknown
Hidden
Train 2 -
public_off No
0.489
24
SZTE
effnet_multi -
public_off No
0.488
25
Pedro Bento
SwinV2 (tiny) - 2 epoch mid training -
public Yes
0.486
26
DL_2025.1_HUST
PanDerm Tri-Modal Fusion -
public_off No
0.486
27
MDCL-SCRL-2
MDCL-SCRL-FOLD3 -
public_off No
0.485
28
TmpMusty
Independent Researcher
EfficientNetV2 multimodal dumen -
public_off No
0.481
29
SzaboAndrasBajnok
University of Szeged
Multimodal -
public_off No
0.478
30
ManuelPla
UOC
Multimodal 1.9 -
public_off No
0.478
31
ElaheVisionX SkinAnalytics
EffNetV2 -
public_off No
0.477
32
LIFE
Universidade Federal do Espírito Santo
Concatenation baseline custom loss -
public Yes
0.476
33
milkyway
Yonsei iie4123
sampler+customlossv4+v1 ensemble -
public_off No
0.473
34
new few
deneme chat -
public_off No
0.472
35
MDCL-SCRL
MDCL-SCRL-FOLD1 -
public_off No
0.471
36
MDCL-SCRL-all
ALL -
public_off No
0.471
37
Nikshay Kataria
convnext_512 -
public_off No
0.470
38
Rekura
Concept bottleneck model for skin lesion classification description
public_off No
0.469
39
jmirtas
jmirtas -
public_off No
0.466
40
SkinGuard
ResNet50 -
public_off No
0.464
41
Huvy
Volo D1 Remix -
public Yes
0.463
42
AK
HUST
CNN -
public_off No
0.462
43
Judy
BUAA
resnet50 -
public_off No
0.461
44
It Hurts When IP
Woxsen University
Densenet -
public_off No
0.459
45
d
first fs -
public_off No
0.459
46
Unknown2
Unknown
One fold -
public_off No
0.457
47
Milk10k
Swin v1 -
public_off No
0.456
48
ZY
AHU
Dual_SwinTransformer -
public_off No
0.456
49
Bajnok
Milk10k swin and effnet -
public_off No
0.454
50
ENS-Group#2
Sabanci University
EfficientNetV2-S Multi-Label Dermoscopic Classifier -
public_off No
0.453
51
NoExternalData
NoExternalData used -
public_off No
0.452
52
cheesenet
Efficientnetv2 + custom loss + dynamics -
public_off No
0.447
53
Dhruval Padia
Ensemble -
public_off No
0.444
54
John's Lab
Independent
Vision transformer - custom head - 6 -
public_off No
0.444
55
NIH NLM AI4M
National Institutes of Health, National Library of Medicine
Multimodal-Image-Text -
public_off No
0.442
56
CBML_UNIPI
University of Pireaus
EfficientNetV2S_DualFusion_Attention -
public_off No
0.439
57
Erdem Bozyel
Ensemble v1 -
public Yes
0.437
58
Concat-four
Concat-fold5 -
public_off No
0.436
59
cosine
cosine few -
public_off No
0.432
60
KW_HAU
Kwangwoon University
Test -
public_off No
0.425
61
Concat
Concat-All -
public_off No
0.424
62
DBAA
Hanoi University of Science and Technology
AMMFA -
public_off No
0.419
63
AIEM
Johns Hopkins University
CNN -
public_off No
0.419
64
Soland
UET
EfficientNetV2 -
public_off No
0.413
65
ZCU-FAV-KKY
University of West Bohemia
CAFormer18 v3 -
public_off No
0.408
66
SophiaMSCore_Systems
ConvNeXt +SwinV2 -
public_off No
0.405
67
BUPT6
Beijing University of Posts and Telecommunications
ResNext-Pre-6 -
public_off No
0.402
68
GATV
UPM
Hiera Encoder -
public_off No
0.395
69
David Nduonofit
Bowen University
EfficientNetV2 + Transformer fusion -
public_off No
0.393
70
XRAI-Keele
Keele University
Swin-v2 with concept-guided cross-attention -
public_off No
0.389
71
slemanfaiz
ResNet optimized -
public_off No
0.384
72
ainum
CLIP pretrained encoders with cross attention -
public_off No
0.366
73
Yhltmxh
TEMP
EfficientnetV2 -
public_off No
0.353
74
BUPT3
Beijing University of Posts and Telecommunications
aa2 -
public_off No
0.323
75
BUPT5
Beijing University of Posts and Telecommunications
ResNext-OnlyImage -
public_off No
0.317
76
TestTeam
TestModel -
public_off No
0.296
77
JMI SkinVision (Farhan khan)
Jamia Millia Islamia
Dual-EfficientNetV2 with Multi Modal Fusion -
public_off No
0.260
78
BUPT4
Beijing University of Posts and Telecommunications
ResNext-OnlyImage -
public_off No
0.239
79
skintell
SkinTell -
public_off No
0.236
80
catalinapesquet
MobileNet_clinical -
public_off No
0.200
81
akhilesh gajjar
nirma university
vit_1 -
public_off No
0.189
82
fibers
Universitat Politècnica de Barcelona
First test -
public_off No
0.136
83
oris
efficientnet+extra feature -
public Yes
0.079
84
[deleted]
[deleted4] -
public_off No
0.000