BB
BenchBoard

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

Task Evidence

Hungarian-CRC-Screen · neoplastic_status (Hungarian-Colorectal-Screening__neoplastic)

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 DiagnosiscolorectalH&EAnchor evidence

Task metadata

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

cls
Identity
task_key
Hungarian-Colorectal-Screening__neoplastic
dataset_name
Hungarian-CRC-Screen
task_name
neoplastic_status
task_type
cls
Taxonomy
task_family_l1
Diagnostic Pathology
task_family_l2
Disease Entity & Histologic Diagnosis
label_structure
binary
num_classes
2
labels
{"0": "non_neoplastic", "1": "neoplastic"}
Biology
organ
colorectal
stain
H&E
specimen_type
mixed
timepoint
diagnosis
disease
结直肠癌
Scale & Labels
patient_n
200
slide_n
200
label_source
pathology
label_visibility
direct
Result Evidence
result_tier
Anchor
result_quality_score
87.5
result_flags
result_tier_reason
Clear model separation: significant-win density 0.378.Difficulty sits in a usable range: best mean 0.985.
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Similar tasks

Ranked by shared L2 subtype first, then L1 family, organ, type and label structure.