Lung

Benchmarks

Task Name	Dataset Name	SOTA Result
Classification	LUNG	ACC94	18
Clustering	LUNG	Accuracy72	18
Reconstruction	LUNG	RMSE0.77	18
Medical Image Segmentation	Lung (CT) (test)	DSC81.27	17
Multi-Instance Learning TPAUC Maximization	Lung (test)	Mean TPAUC0.865	15
Cell-type identification	Lung	Accuracy86.47	14
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
Medical Image Segmentation	Lung dataset	F1-Score99.04	5
Clustering	lung 30% outliers	Accuracy69.46	4
Clustering	lung clean	ACC0.7108	4
Gene expression prediction	LUNG Top 50 HVGs	Macro PCC0.518	4

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