An auxiliary attention-based network for joint classification and localization of breast tumor on ultrasound images

Keyphrases

• Breast Tumor 100%
• Attention Network 100%
• Ultrasound Image 100%
• Classification Network 100%
• Joint Localization 100%
• Joint Classification 100%
• Lesion Localization 66%
• Unsupervised Learning 66%
• Learning Methods 66%
• Data Annotation 66%
• Multi-task Learning 66%
• Tumor Subtype 33%
• Screening Tool 33%
• Mortality Rate 33%
• Image Data 33%
• Early Diagnosis 33%
• Region of Interest 33%
• Effective Screening 33%
• Ultrasound Imaging 33%
• Breast Ultrasound 33%
• Medical Imaging 33%
• Attention Mechanism 33%
• Tumor Classification 33%
• Tumor Localization 33%
• Training Model 33%
• Potential Conflict 33%
• Learning Scheme 33%
• Training Strategy 33%
• Network Design 33%
• Learning Strategies 33%
• Attention Module 33%
• Sequential Training 33%
• Inherent Noise 33%
• Breast Tumor Localization 33%
• Multi-task Learning Framework 33%
• Multiple Attention 33%
• Modularized 33%
• Breast Tumor Classification 33%
• Independent Network 33%

Computer Science

• Ultrasound Image 100%
• Multitask Learning 100%
• Annotation 66%
• Decision-Making 33%
• Medical Imaging 33%
• Mortality Rate 33%
• Training Model 33%
• Extracted Feature 33%
• Learning Framework 33%
• Supervised Learning 33%
• Attention (Machine Learning) 33%
• Network Design 33%
• Learning Scheme 33%
• Supervised Learning Strategy 33%
• Potential Conflict 33%