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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

CAMELYON17 · lesion_size_class (CAMELYON17__lesion_size_class)

Diagnostic Pathology / Anatomic Staging, Invasion & Metastatic Burden

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 · Diagnostic PathologyL2 · Anatomic Staging, Invasion & Metastatic Burdenaxillary_lymph_nodesH&EAnchor evidence

Task metadata

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

cls
Identity
task_key
CAMELYON17__lesion_size_class
dataset_name
CAMELYON17
task_name
lesion_size_class
task_type
cls
Taxonomy
task_family_l1
Diagnostic Pathology
task_family_l2
Anatomic Staging, Invasion & Metastatic Burden
label_structure
ordinal
num_classes
4
labels
{"0": "negative", "1": "itc", "2": "micro", "3": "macro"}
Biology
organ
axillary_lymph_nodes
stain
H&E
specimen_type
lymph_node
timepoint
diagnosis
disease
乳腺癌(淋巴结转移)
Scale & Labels
patient_n
200
slide_n
1000
label_source
pathology
label_visibility
direct
Result Evidence
result_tier
Anchor
result_quality_score
88.6
result_flags
result_tier_reason
Stable split behavior: median std 0.031.Clear model separation: significant-win density 0.313.Difficulty sits in a usable range: best mean 0.641.
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