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
Top 10
Leading models on ABIDE I.
All datasets
9 datasets tracked for this task.
ABIDE I
CANONICAL21results·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
Related tasks
Other tasks in Medical.