How is Deep Learning Revolutionizing Segmentation?
Deep learning, a subset of machine learning, has significantly advanced the field of image segmentation in cancer detection. Convolutional Neural Networks (CNNs) and other deep learning architectures can learn complex patterns and features from large datasets of annotated medical images. This has led to:
Higher Accuracy: Deep learning models can achieve higher accuracy in segmentation compared to traditional methods. Automation: These models can automate the segmentation process, reducing the time and effort required by radiologists. Generalizability: Deep learning models can be trained on diverse datasets, making them more generalizable across different types of medical images and cancers.
