What is deep learning in image segmentation?
Deep learning in image segmentation involves using neural networks to classify each pixel in an image, allowing for precise object detection.
How does it differ from traditional image segmentation methods?
Unlike traditional methods that rely on manual feature extraction, deep learning automates this process, improving accuracy and efficiency.
What are some popular architectures used for image segmentation?
Popular architectures include U-Net, Mask R-CNN, and DeepLab, each designed for specific segmentation tasks.
Can you give an example of its application?
Sure! It's widely used in medical imaging to segment tumors from healthy tissue, aiding in diagnosis and treatment planning.
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