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 · colorectal_cancer_status (Hungarian-Colorectal-Screening__CRC)

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&EInformative evidence

Task metadata

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

cls
Identity
task_key
Hungarian-Colorectal-Screening__CRC
dataset_name
Hungarian-CRC-Screen
task_name
colorectal_cancer_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_CRC", "1": "CRC"}
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
Informative
result_quality_score
77
result_flags
ceilingcrowded_head
result_tier_reason
Stable split behavior: median std 0.027.Clear model separation: significant-win density 0.338.Best observed mean is near the metric ceiling: 0.995.Many contenders sit near the best score: 37.8% within 0.01.
loading…

Similar tasks

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