Medical

Disease Classification

Diagnosing diseases from medical images or data.

9
Datasets
44
Results
accuracy
Canonical metric
Canonical Benchmark

ABIDE I

1,112 resting-state fMRI datasets from 539 individuals with autism spectrum disorder (ASD) and 573 typically developing controls across 17 international sites. Multi-site neuroimaging data for autism classification and biomarker discovery.

Primary metric: accuracy
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Top 10

Leading models on ABIDE I.

RankModelaccuracyYearSource
1
plymouth-dl-model
98.02025paper
2
mcbert
93.42025paper
3
ae-fcn
85.02025paper
4
asd-swnet
81.02025paper
5
braingт
78.72025paper
6
multi-atlas-dnn
78.12025paper
7
gcn
78.02025paper
8
svm-connectivity
77.02025paper
9
asd-swnet
76.52025paper
10
maacnn
75.12025paper

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All datasets

9 datasets tracked for this task.

ABIDE I

CANONICAL
21results·accuracy
Top: plymouth-dl-model — 98.0

CheXpert

7results·auroc
Top: chexpert-auc-maximizer — 93.0

NIH ChestX-ray14

4results·auroc
Top: torchxrayvision — 85.8

MIMIC-CXR

3results·auroc
Top: chexzero — 89.2

ABIDE II

2results·accuracy
Top: deepasd — 93.0

COVID-19 Image Data Collection

2results·auroc
Top: densenet-121-cxr — 94.7

RSNA Pneumonia Detection

2results·map
Top: densenet-121-cxr — 88.5

VinDr-CXR

2results·auroc
Top: rad-dino — 91.2

PadChest

1result·auroc
Top: torchxrayvision — 84.6

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