Anomaly detection for medical images based on a one-class classification

Computer Science

• Anomaly Detection 100%
• Autoencoder 100%
• Class Classification 100%
• Classifier 50%
• Deep Convolutional Neural Networks 50%
• Deep Neural Network 50%
• Imbalanced Data 50%
• Large-Scale Problem 50%
• Learning Algorithm 50%
• Majority Group 50%
• Medical Application 50%
• Medical Diagnosis 50%
• Reconstruction Error 50%
• Research Problem 50%
• Scalable Method 50%
• Training Dataset 50%

Keyphrases

• Binary Class 14%
• Data Leverage 14%
• INbreast 14%
• Majority Group 14%
• One-class Classification 100%
• One-class Classifier 14%
• One-class Learning 14%
• Patch-based Learning 14%
• PET Image 14%
• Unsupervised Model 14%

Material Science

• Tumor 100%