Investigating Brain Tumor Segmentation and Detection Techniques

被引:34
作者
Lather, Mansi [1 ]
Singh, Parvinder [1 ]
机构
[1] Deenbandhu Chhotu Ram Univ Sci & Technol, Dept Comp Sci & Engn, Murthal 131039, Sonipat, India
来源
INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND DATA SCIENCE | 2020年 / 167卷
关键词
Brain; Brain Tumor; Classification; Digital Image Processing; Medical Image Analysis; Segmentation; TISSUE SEGMENTATION;
D O I
10.1016/j.procs.2020.03.189
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Brain tumor is a life-threatening problem and hampers the normal functioning of the human body. For proper diagnosis and efficient treatment planning, it is necessary to detect the brain tumor in early stages. Digital image processing plays a vital role in analysis of medical images. Segmentation of brain tumor involves separation of abnormal brain tissues from normal tissues of brain. In the past, various researchers have proposed the semi and fully automatic methods for detection and segmentation of brain tumor. In this article, the different techniques available for segmentation have been presented. This article focuses on the work done by many researchers in the past to partially or fully automate the job of segmenting the brain tumor. The consolidated details of the reviewed literature have been tabulated. Simplicity and degree of human supervision decides the clinical acceptance of a particular segmentation technique. (C) 2020 The Authors. Published by Elsevier B.V.
引用
收藏
页码:121 / 130
页数:10
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