Deep learning-based mediastinal lymph node assessment on PET/CT images without pixel-level annotations

Key Points

• The aim is to evaluate mediastinal lymph node assessment using deep learning without needing detailed pixel-level annotations.
• Developed models using deep learning techniques.
• Divided the assessment problem into subtasks for better management.
• Integrated prior knowledge to enhance model performance.
• Models showed improved or comparable performance without pixel-level annotations.
• Integration of prior knowledge led to significant enhancements in assessment accuracy.