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BenchBoard

Decision cockpit for pathology foundation-model benchmarking, built to move from broad coverage scans to task-level evidence.

Task Evidence

AURORA-MBC · sample_collection_timepoint (AURORA-Metastatic-Breast-Multiomics__Tissue_primary_type_treatment)

Tissue / Specimen Context / Tissue/Specimen Origin & Sampling Context

Inspect benchmark evidence for one task at a time: who leads, how stable the split-level results are, and which neighbouring tasks are likely to transfer intuition.

clsL1 · Tissue / Specimen ContextL2 · Tissue/Specimen Origin & Sampling ContextbreastH&EAnchor evidence

Task metadata

Fields sourced from benchmark_main. Missing values are shown as —.

cls
Identity
task_key
AURORA-Metastatic-Breast-Multiomics__Tissue_primary_type_treatment
dataset_name
AURORA-MBC
task_name
sample_collection_timepoint
task_type
cls
Taxonomy
task_family_l1
Tissue / Specimen Context
task_family_l2
Tissue/Specimen Origin & Sampling Context
label_structure
multiclass
num_classes
3
labels
{"0": "Pre-treatment", "1": "Post-treatment", "2": "Metastasis"}
Biology
organ
breast
stain
H&E
specimen_type
unknown
timepoint
mixed
disease
乳腺癌
Scale & Labels
patient_n
49
slide_n
152
label_source
clinical_baseline
label_visibility
indirect
Result Evidence
result_tier
Anchor
result_quality_score
86.1
result_flags
config_sensitive
result_tier_reason
Clear model separation: significant-win density 0.212.Difficulty sits in a usable range: best mean 0.883.Leader changes across checkpoint strategies: 3 distinct leaders.
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