Mammographic Image Segmentation and Risk Classification Using a Novel Texture Signature Based Methodology

Engineering

• Risk Category 100%
• Building Block 50%
• Classification Accuracy 50%
• Feature Extraction 50%
• Ground Truth 50%
• Radiologist 50%

Computer Science

• Image Segmentation 100%
• Feature Extraction 33%
• Building-Blocks 33%
• Classification Accuracy 33%
• Segmentation Approach 33%
• classification result 33%

Earth and Planetary Sciences

• Pattern Recognition 100%