Task Evidence
EBRAINS · diagnosis_group (EBRAINS__diagnosis_group)
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&EInformative evidence
Task metadata
Fields sourced from benchmark_main. Missing values are shown as —.
Identity
- task_key
- EBRAINS__diagnosis_group
- dataset_name
- EBRAINS
- task_name
- diagnosis_group
- task_type
- cls
Taxonomy
- task_family_l1
- Diagnostic Pathology
- task_family_l2
- Disease Entity & Histologic Diagnosis
- label_structure
- multiclass
- num_classes
- 12
- labels
- {"0": "Adult-type diffuse gliomas", "1": "Meningiomas", "2": "Tumours of the sellar region", "3": "Mesenchymal, non-meningothelial tumours involving the CNS", "4": "Glioneuronal and neuronal tumours", "5": "Circumscribed astrocytic gliomas", "6": "Cranial and paraspinal nerve tumours", "7": "Paediatric-type diffuse low-grade gliomas", "8": "Ependymal tumours", "9": "Metastatic tumours", "10": "Haematolymphoid tumours involving the CNS", "11": "Embryonal tumours"}
Biology
- organ
- brain
- stain
- H&E
- specimen_type
- resection
- timepoint
- mixed
- disease
- 脑肿瘤
Scale & Labels
- patient_n
- 2142
- slide_n
- 2312
- label_source
- pathology
- label_visibility
- direct
Result Evidence
- result_tier
- Informative
- result_quality_score
- 78.8
- result_flags
- ceilingcrowded_head
- result_tier_reason
- Stable split behavior: median std 0.004.Clear model separation: significant-win density 0.461.Best observed mean is near the metric ceiling: 0.993.Many contenders sit near the best score: 41.5% within 0.01.
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