Segmentation-Guided Dual-Channel Ensemble Learning for Automated Multi-Label Thoracic Disease Detection in Chest Radiographs
Automated detection of multi-label thoracic disease in chest X-rays is essential for improving the efficiency and reducing clinical burden, although it remains challenge because of co-occurring pathologies and visual feature overlap. Proposed work presents a novel dual-channel ensemble architecture that combines VGG-16...