An Effective Tuberculosis Detection System Based on Improved Faster R-CNN with RoI Align Method

Keyphrases

• Systems-based 100%
• Detection System 100%
• Region of Interest 100%
• Tuberculosis 100%
• Tuberculosis Diagnosis 100%
• Improved Faster R-CNN 100%
• X-ray Images 60%
• High Efficiency 20%
• Effective Approach 20%
• Extracting Features 20%
• Computer-aided 20%
• Highly Accurate 20%
• Disease Symptoms 20%
• Faster R-CNN Model 20%
• Bounding Box 20%
• Public Health Risk 20%
• Model Use 20%
• Survival Rate 20%
• Early Diagnosis 20%
• Deep Learning Model 20%
• Tuberculosis Treatment 20%
• Annotation Information 20%
• Faster R-CNN 20%
• Bounding Box Annotation 20%
• Region Proposal Network 20%
• Anchor Box 20%
• Tuberculosis Prevention 20%
• Json 20%
• X-ray Detect 20%

Computer Science

• Convolutional Neural Network 100%
• Annotation 33%
• Effective Approach 33%
• Deep Learning Model 33%
• Json File 33%
• Anchor Box 33%

Biochemistry, Genetics and Molecular Biology

• X Ray 100%
• Survival Rate 33%