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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

Brain-Mets-Lung-MRI-Path-Segs · gpa_histology_class (Brain-Mets-Lung-MRI-Path-Segs__GPA_Histology_Class)

Diagnostic Pathology / Disease Entity & Histologic Diagnosis

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 · Disease Entity & Histologic DiagnosisbrainH&EAnchor evidence

Task metadata

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

cls
Identity
task_key
Brain-Mets-Lung-MRI-Path-Segs__GPA_Histology_Class
dataset_name
Brain-Mets-Lung-MRI-Path-Segs
task_name
gpa_histology_class
task_type
cls
Taxonomy
task_family_l1
Diagnostic Pathology
task_family_l2
Disease Entity & Histologic Diagnosis
label_structure
multiclass
num_classes
3
labels
{"0": "SCLC", "1": "NSCLC Adenocarcinoma", "2": "NSCLC Non-adenocarcinoma"}
Biology
organ
brain
stain
H&E
specimen_type
resection
timepoint
metastatic_or_recurrence
disease
肺癌(脑转移)
Scale & Labels
patient_n
103
slide_n
111
label_source
pathology
label_visibility
direct
Result Evidence
result_tier
Anchor
result_quality_score
83.3
result_flags
result_tier_reason
Clear model separation: significant-win density 0.380.Difficulty sits in a usable range: best mean 0.916.
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