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WSI-level classification on EBRAINS

39.8Weighted F1 ScoreMR-PLIP
-0.2410.15520.5530.945Apr 26, 2025

Evaluation results

MethodLinks
MR-PLIPzero-shot=true, prompts ensembling=true2025.0439.8——
CONCHzero-shot=true, prompts ensembling=true2025.0435.9——
MR-PLIPzero-shot=true, prompts ensembling=false2025.0433.2——
MI-Zerozero-shot=true, prompts ensembling=true2025.0433.1——
CPLIPzero-shot=true, prompts ensembling=true2025.0432.7——
CONCHzero-shot=true, prompts ensembling=false2025.0430.4——
QuiltNetzero-shot=true, prompts ensembling=true2025.0428.6——
CPLIPzero-shot=true, prompts ensembling=false2025.0425.6——
MI-Zerozero-shot=true, prompts ensembling=false2025.0425.3——
QuiltNetzero-shot=true, prompts ensembling=false2025.0422.9——
BioCLIPzero-shot=true, prompts ensembling=true2025.0412.4——
BioCLIPzero-shot=true, prompts ensembling=false2025.049.3——
PLIPzero-shot=true, prompts ensembling=true2025.048.7——
CLIPzero-shot=true, prompts ensembling=true2025.042.9——
CLIPzero-shot=true, prompts ensembling=false2025.042——
PLIPzero-shot=true, prompts ensembling=false2025.041.3——
CHIEFEvaluation Protocol=weakly-supervised learning2025.04—68.870.6
CONCHEvaluation Protocol=weakly-supervised learning2025.04—68.771.7
CTransPathEvaluation Protocol=weakly-supervised learning2025.04—51.459.7
GigaPathEvaluation Protocol=weakly-supervised learning2025.04—68.770.4
MR-PLIPEvaluation Protocol=weakly-supervised learning2025.04—74.576.3
QuiltNetEvaluation Protocol=weakly-supervised learning2025.04—65.566.6
REMEDISEvaluation Protocol=weakly-supervised learning2025.04—38.247.1
UNIEvaluation Protocol=weakly-supervised learning2025.04—67.574.6
VirchowEvaluation Protocol=weakly-supervised learning2025.04—70.172.3