Brain Tumor Segmentation using Multi-level Otsu Thresholding and Chan-Vese Active Contour Model

Research on brain tumor segmentation has been developed, ranging from threshold-based methods to the use of the deep learning algorithm. In this study, we proposed a region-based brain tumor segmentation method, namely the active contour model (ACM). Tumor segmentation was carried out using fluid attenuated inversion recovery (FLAIR) modality magnetic resonance imaging (MRI) image data obtained from the Multimodal Brain Tumor Image Segmentation...