Jesus Gonzalez
dagazrev
- Spain
- Vall d'Hebron Institut de Recerca
- Neurology - Stroke Research
Statistics
- Member for 2 months, 2 weeks
- 1 challenge submissions
- 3 algorithms run
Activity Overview
Task 1: Radiology Report Generation
Challenge UserParticipants build vision‑language models that translate a complete 3‑D chest CT scan into a free‑text radiology report covering findings and impression; performance is assessed with standard NLG scores (BLEU, METEOR, ROUGE‑L) plus the clinically aware CRG metric, using the CT‑RATE dataset split into public train/validation and hidden internal+external test sets.
Task 2: Multi-Abnormality Classification
Challenge UserGiven a volumetric chest CT, algorithms must output an 18‑length binary vector indicating the presence of common thoracic conditions (e.g., pleural effusion, lung nodule); evaluation on hidden test cohorts combines AUROC, F1, Precision, Recall, and Accuracy, with point‑based ranking driven by permutation‑test wins.
