Brain Tumor Image Segmentation in MRI Image

2nd International Conference on Vocational Education and Electrical Engineering

无线电电子学;教育

Peni Agustin Tjahyaningtijas, Hapsari^1

Electrical Engineering Department, Universitas Negeri Surabaya, Indonesia^1

关键词: Automatic segmentations;    Brain segmentation;    Brain tumor segmentation;    Clinical routine;    Manual segmentation;    Recent trends;    Review papers;    State-of-the-art algorithms;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/336/1/012012/pdf
DOI  :  10.1088/1757-899X/336/1/012012

学科分类：发展心理学和教育心理学

来源: IOP

【 摘 要 】

Brain tumor segmentation plays an important role in medical image processing. Treatment of patients with brain tumors is highly dependent on early detection of these tumors. Early detection of brain tumors will improve the patient's life chances. Diagnosis of brain tumors by experts usually use a manual segmentation that is difficult and time consuming because of the necessary automatic segmentation. Nowadays automatic segmentation is very populer and can be a solution to the problem of tumor brain segmentation with better performance. The purpose of this paper is to provide a review of MRI-based brain tumor segmentation methods. There are number of existing review papers, focusing on traditional methods for MRI-based brain tumor image segmentation. this paper, we focus on the recent trend of automatic segmentation in this field. First, an introduction to brain tumors and methods for brain tumor segmentation is given. Then, the state-of-the-art algorithms with a focus on recent trend of full automatic segmentaion are discussed. Finally, an assessment of the current state is presented and future developments to standardize MRI-based brain tumor segmentation methods into daily clinical routine are addressed.