Using deep learning for mammography classification

Keyphrases

• Deep Learning 100%
• Preprocessing Techniques 100%
• Mammogram Classification 100%
• Image Data 66%
• Classification Accuracy 66%
• Precision-recall 66%
• Unnecessary Biopsy 66%
• Diagnostic Methods 33%
• Negative Impact 33%
• Mini 33%
• Convolutional Neural Network 33%
• Ultrasound 33%
• Classification Performance 33%
• Region of Interest 33%
• Mammogram Images 33%
• Score Value 33%
• Mammography 33%
• Breast Cancer Diagnosis 33%
• MIAS Database 33%
• Benign or Malignant 33%
• Crop Image 33%
• Computer-aided Diagnostics 33%
• Negative Biopsy 33%
• Mini-MIAS Database 33%
• Breast Biopsy 33%

INIS

• classification 100%
• datasets 100%
• learning 100%
• biopsy 100%
• accuracy 75%
• images 75%
• data 50%
• precision 50%
• breasts 50%
• cancer 25%
• cost 25%
• performance 25%
• information 25%
• values 25%
• operation 25%
• computers 25%
• pain 25%
• neural networks 25%
• diagnostic techniques 25%
• augmentation 25%
• crops 25%
• masks 25%

Computer Science

• Deep Learning 100%
• Classification Accuracy 100%
• Convolutional Neural Network 50%
• Classification Performance 50%
• Negative Impact 50%