Improving lung region segmentation accuracy in chest X-ray images using a two-model deep learning ensemble approach

Keyphrases

• Chest X-ray Images 100%
• Ensemble Approach 100%
• Lung Region 100%
• Region Segmentation 100%
• Segmentation Accuracy 100%
• Deep Learning Ensemble 100%
• Proposed Methodology 66%
• Image Patch 66%
• Segmented Image 66%
• University of Texas 33%
• Image Processing Techniques 33%
• Initial Segment 33%
• Divide-and-conquer 33%
• Connected Component Labeling 33%
• Region Filling 33%
• Convolutional Neural Network 33%
• Disjunction 33%
• Pre-segmentation 33%
• Deep Learning Framework 33%
• Filling Algorithm 33%
• U-Net 33%
• Small Images 33%
• Traditional Image Processing 33%
• Post-processing Step 33%
• Art Competition 33%

Computer Science

• Deep Learning Framework 50%