Hybrid order-aware CNN–vision-language model for LN-RADS–based lymph-node diagnosis

Key Points

• The aim is to develop a hybrid model that enhances lymph-node diagnosis using CNN and vision-language techniques.
• Developed a hybrid CNN-vision-language model.
• Utilized LN-RADS (Lymph Node Reporting and Data System) for diagnosis assessment.
• Performed diagnostic evaluations on lymph-nodes.
• Increased accuracy in lymph-node diagnosis compared to traditional methods.
• Enhanced order awareness improved model performance.