What Techniques are Used for Brain Tumor Segmentation?
Various techniques are employed for brain tumor segmentation, ranging from manual methods to advanced automated approaches: - Manual Segmentation: Performed by radiologists or medical experts, but it is time-consuming and subject to inter-observer variability. - Automated Segmentation: Utilizes algorithms and machine learning models to automate the process. These methods include: - Thresholding: Simple but may not handle complex cases well. - Clustering: Groups similar pixels; k-means and fuzzy c-means are common examples. - Deep Learning: Convolutional neural networks (CNNs) have revolutionized segmentation tasks by providing high accuracy and robustness.
