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WSI-level classification on NSCLC-CPTAC

87.5F1 Score (Weighted)MR-PLIP
11.68431.36751.0570.733Apr 26, 2025

Evaluation results

MethodLinks
MR-PLIPzero-shot=true, prompts ensembling=true2025.0487.5——
CONCHzero-shot=true, prompts ensembling=true2025.0485.4——
MR-PLIPzero-shot=true, prompts ensembling=false2025.0484.2——
CPLIPzero-shot=true, prompts ensembling=true2025.0484.1——
QuiltNetzero-shot=true, prompts ensembling=true2025.0483.2——
CPLIPzero-shot=true, prompts ensembling=false2025.0480.9——
CONCHzero-shot=true, prompts ensembling=false2025.0480.6——
MI-Zerozero-shot=true, prompts ensembling=true2025.0480.4——
QuiltNetzero-shot=true, prompts ensembling=false2025.0477.3——
MI-Zerozero-shot=true, prompts ensembling=false2025.0475.3——
PLIPzero-shot=true, prompts ensembling=true2025.0470.6——
PLIPzero-shot=true, prompts ensembling=false2025.0466.1——
BioCLIPzero-shot=true, prompts ensembling=false2025.0431.1——
BioCLIPzero-shot=true, prompts ensembling=true2025.0427.5——
CLIPzero-shot=true, prompts ensembling=true2025.0420.2——
CLIPzero-shot=true, prompts ensembling=false2025.0414.6——
CHIEFEvaluation Protocol=weakly-supervised learning2025.04—92.293.4
CONCHEvaluation Protocol=weakly-supervised learning2025.04—88.190.2
CTransPathEvaluation Protocol=weakly-supervised learning2025.04—87.789.5
GigaPathEvaluation Protocol=weakly-supervised learning2025.04—9091.5
MR-PLIPEvaluation Protocol=weakly-supervised learning2025.04—9395.5
QuiltNetEvaluation Protocol=weakly-supervised learning2025.04—87.790
REMEDISEvaluation Protocol=weakly-supervised learning2025.04—84.186.6
UNIEvaluation Protocol=weakly-supervised learning2025.04—90.493.5
VirchowEvaluation Protocol=weakly-supervised learning2025.04—92.393.6