What are the applications of deep learning in segmentation?

What are the applications of deep learning in segmentation?

Deep learning is widely used in segmentation for tasks like medical imaging, autonomous driving, and image editing.

Can you explain how it is used in medical imaging?

In medical imaging, deep learning helps in segmenting organs and tumors from scans, improving diagnosis and treatment.

What about its role in autonomous driving?

In autonomous driving, deep learning segments road scenes to identify pedestrians, vehicles, and obstacles for safe navigation.

Are there any challenges in using deep learning for segmentation?

Yes, challenges include the need for large labeled datasets, computational resources, and ensuring model generalization.