X-ray Image Segmentation with the Use of Machine Learning Algorithms

Abstract

Brain tumor images segmentation plays a crucial role in the auxiliary diagnosis of disease, treatment planning and surgical navigation. In order to accurately segment brain tumor images, this paper proposes an automatic brain tumor Magnetic Resonance Imaging (MRI) image segmentation algorithm based on the U-net model. The neuron network based approached was closely analyzed in comparison with standard segmentation techniques (detection by threshold, K-means clustering, histogram-based approach and edge detection). The algorithm is validated and evaluated on the Jun Cheng dataset. The experimental results show that the proposed algorithm has strong competitiveness compared with the existing brain tumor MRI image segmentation algorithm. © 2020 American Institute of Physics Inc.. All rights reserved.