Boltzmann-driven dynamic annealing network for knowledge-guided radiology report generation
A novel Boltzmann-driven Dynamic Annealing Network for Knowledge-guided Radiology Report Generation that employs Boltzmann distribution with an annealing mechanism to process global visual features, while integrating medical knowledge with dynamic sparse attention for precise lesion identification is proposed.