Part 4/11:

• Hybrid Models: Combining CNNs with capsule networks to leverage the strengths of both. These hybrid systems aim to improve segmentation accuracy and robustness, especially in challenging medical images.

The widely used U-Net+ model was also discussed, recognized for its effectiveness in medical image segmentation tasks.

The Typical Workflow in Medical Image Analysis

The session provided a detailed overview of how AI models are applied to real-world cases:

1. Data Collection and Annotation: Medical images (like CT scans, MRIs, or skin lesion images) are collected, and experts annotate them to generate segmentation masks indicating regions such as tumors or lesions.