BRAIN Journal-Performance Analysis of Unsupervised Clustering Methods for Brain Tumor Segmentation-Figure 1. Diagnosis Rate in different Countrie

In MRI images, the amount of data is too much for manual segmentation. The procedure is tedious, time, labor consuming, subjective and requires expertise. This gave way to methods that are computer-aided with user interaction at varying levels. These methods are automatic and objective and the results are highly reproducible. We designed software tool for locating brain tumor, based on unsupervised clustering methods and analyzed its performancehttps://www.edusoft.ro/brain/index.php/brain/article/view/420/47