Improving Unsupervised Graph-Based Skull Stripping: Enhancements and Comparative Analysis With State-Of-The-Art Methods (2024)

International Workshop on Informatics & Data-Driven Medicine Authors Maria Popa, A. Andreica Abstract Brain disorders are increasingly prevalent today, making accurate brain segmentation essential for effective treatment andrecovery. This paperintroducesanenhancedunsupervisedgraph-basedbrainsegmentationmethod that employs an ellipsoid to select the nodes forming the graph. The method was rigorously evaluated on T1 and T2 modalities using four diverse…

Towards an Improved Unsupervised Graph-Based MRI Brain Segmentation Method (2023)

International Conference on Cooperative Information Systems Authors Maria Popa, A. Andreica Abstract Brain disorders are becoming more prevalent, and accurate brain segmentation is a vital component of identifying the appropriate treatment. This study introduces an enhanced graph-based image segmentation technique. The node selection process involves creating an ellipsoid centered at the image’s center of…