Lung

Benchmarks

Task Name	Dataset Name	SOTA Result
Classification	LUNG	ACC98.02	46
Classification	lung discrete	Accuracy95.9	28
Clustering	LUNG	Accuracy72	18
Reconstruction	LUNG	RMSE0.77	18
Medical Image Segmentation	Lung (CT) (test)	DSC81.27	17
Molecular Biomarker Prediction	Lung 4 tasks	AUROC69.17	16
Medical Anomaly Detection	Lung	Dice89.51	15
Multi-Instance Learning TPAUC Maximization	Lung (test)	Mean TPAUC0.865	15
Image Classification	LUNG	Accuracy (ACC)88.2	14
Cell-type identification	Lung	Accuracy86.47	14
Clustering	Lung1 gene microarray	Accuracy99.5	12
Medical Image Segmentation	LUNG	DSC94.13	12
Feature Selection	lung	Execution Time (s)270	11
Cancer Subtyping	Lung Internal-H1	D-Score0.9199	11
Primary/Metastatic Classification	Lung External-H6	D-Score90.67	11
Primary/Metastatic Classification	Lung External	D-Score0.933	11
Primary/Metastatic Classification	Lung Internal-H1	D-Score0.9231	11
Super-Resolution	Lung	PSNR40.01	10
Gene Representation Learning	Lung (test)	Average Score96	9
Gene embedding	Lung	Average Rank2.17	9
WSI Classification	LUNG	F1 Score91.75	7
Survival Analysis	LUNG	Time-dependent C-index0.615	5
Medical Anomaly Segmentation	Lung	Dice Coefficient87.16	5
Medical Image Segmentation	Lung dataset	F1-Score99.04	5
Clustering	lung 30% outliers	Accuracy69.46	4

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