DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms Using Self-adversarial Learning

Keyphrases

• Disentanglement 100%
• Self-adversarial Learning 100%
• Bilateral Mammogram 100%
• Radiologists 25%
• Visual Cues 25%
• Classification Task 25%
• Mammogram Images 25%
• Mammogram 25%
• Localization Tasks 25%
• Transformer 25%
• Segmentation Problem 25%
• Anomaly Localization 25%
• Normal Mammograms 25%
• Abnormality Classification 25%
• Abnormality Segmentation 25%
• Clinical Diagnosis 25%
• Valuable Insight 25%
• Diagnostic Interpretation 25%

INIS

• learning 100%
• algorithms 50%
• houses 50%
• asymmetry 50%
• classification 50%
• datasets 50%
• anatomy 50%
• symmetry 50%
• transformers 50%