What are the Future Directions in Brain Tumor Segmentation?
The future of brain tumor segmentation is likely to be shaped by several trends and innovations: - Multimodal Imaging: Combining different imaging modalities (e.g., MRI and PET) to improve segmentation accuracy. - Transfer Learning: Using pre-trained models on large datasets to enhance performance on smaller, specific datasets. - Explainability: Developing models that provide interpretable results to gain insights into their decision-making process. - Real-time Segmentation: Implementing models that can provide immediate feedback during surgical procedures.
