Subjects¶

• Image processing basics, filtering
• Registration, texture and morphological operations
• Detection and segmentation
• Performance measurement and ROC analysis
• Machine learning with neural networks
• Convolutional Neural Networks
• ConvNets in medical imaging applications
• Deep learning in grand challenges in medical imaging