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Jinlong He

xxxxxdonquixote

  •  China
  •  University of Electronic Science and Technology of China
  •  School of Mechanical and Electrical Engineering
Statistics
  • Member for 1 month, 3 weeks

Activity Overview

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Task 1: Radiology Report Generation
Challenge User

Participants 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.

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Task 2: Multi-Abnormality Classification
Challenge User

Given 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.