Determination of Tumor Boundaries in FLAIR Sequence MR Image with Different Image Segmentation Algorithms

Muhammet Usame Ozic, Cansu Gunes, Ahmet Avci
{"title":"Determination of Tumor Boundaries in FLAIR Sequence MR Image with Different Image Segmentation Algorithms","authors":"Muhammet Usame Ozic, Cansu Gunes, Ahmet Avci","doi":"10.54856/jiswa.202005112","DOIUrl":null,"url":null,"abstract":"Tumors are undesired tissue disorders that occur in many different parts of the body. These disorders can be either benign or malignant depending on their type. Brain tumors are non-brain structures that are frequently encountered in neurology. These structures negatively affect daily life by disrupting the functional centers of the person with respect to their region in the brain. Determining certain boundaries of tumor areas in radiology is an important parameter for treatment and diagnosis. In this study, segmentation of the tumor region on FLAIR sequence MR image taken from the BRATS database has been tried with seven different image processing algorithms. Segmentation performances of algorithms have been determined by using dice and jaccard indexes.","PeriodicalId":112412,"journal":{"name":"Journal of Intelligent Systems with Applications","volume":"94 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Intelligent Systems with Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54856/jiswa.202005112","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Tumors are undesired tissue disorders that occur in many different parts of the body. These disorders can be either benign or malignant depending on their type. Brain tumors are non-brain structures that are frequently encountered in neurology. These structures negatively affect daily life by disrupting the functional centers of the person with respect to their region in the brain. Determining certain boundaries of tumor areas in radiology is an important parameter for treatment and diagnosis. In this study, segmentation of the tumor region on FLAIR sequence MR image taken from the BRATS database has been tried with seven different image processing algorithms. Segmentation performances of algorithms have been determined by using dice and jaccard indexes.
不同分割算法在FLAIR序列MR图像中肿瘤边界的确定
肿瘤是发生在身体许多不同部位的不受欢迎的组织紊乱。这些疾病根据其类型可分为良性或恶性。脑肿瘤是神经学中经常遇到的非大脑结构。这些结构通过破坏人在大脑中相应区域的功能中心而对日常生活产生负面影响。在放射学上确定肿瘤区域的一定边界是治疗和诊断的重要参数。本研究采用7种不同的图像处理算法对BRATS数据库中FLAIR序列MR图像的肿瘤区域进行分割。通过使用骰子和jaccard索引来确定算法的分割性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信