脑MRI诊断精神分裂症的分水岭算法研究

S. Arunmozhi, N. S. Madhava Raja, V. Rajinikanth, K. Aparna, V. Vallinayagam
{"title":"脑MRI诊断精神分裂症的分水岭算法研究","authors":"S. Arunmozhi, N. S. Madhava Raja, V. Rajinikanth, K. Aparna, V. Vallinayagam","doi":"10.1109/ICSCAN49426.2020.9262281","DOIUrl":null,"url":null,"abstract":"Due to various reasons, most of the humans are suffering due a variety of developed brain sicknesses. If the brain illness is recognized in its premature phase, it is possible to suggest and implement a treatment procedure to cure/control the disease. Schizophrenia is one of the chronic brain disorders; which severely affects the normal behavior of a person. The person with schizophrenia will have problems with thinking, feeling and general behavior. Medical signal and image based procedures are commonly used to identify the schizophrenia and a considerable number of signal (EEG) assisted techniques are already discussed in the literature. The proposed work aims to detect and analyze the schizophrenia using brain MRI slices. This work executes a segmentation practice to extort the brain section affected with the schizophrenia. The experimental results of this work confirm that, proposed technique offers better result on the two-dimensional MRI slices.","PeriodicalId":6744,"journal":{"name":"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"45 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Schizophrenia Detection using Brain MRI — A Study with Watershed Algorithm\",\"authors\":\"S. Arunmozhi, N. S. Madhava Raja, V. Rajinikanth, K. Aparna, V. Vallinayagam\",\"doi\":\"10.1109/ICSCAN49426.2020.9262281\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Due to various reasons, most of the humans are suffering due a variety of developed brain sicknesses. If the brain illness is recognized in its premature phase, it is possible to suggest and implement a treatment procedure to cure/control the disease. Schizophrenia is one of the chronic brain disorders; which severely affects the normal behavior of a person. The person with schizophrenia will have problems with thinking, feeling and general behavior. Medical signal and image based procedures are commonly used to identify the schizophrenia and a considerable number of signal (EEG) assisted techniques are already discussed in the literature. The proposed work aims to detect and analyze the schizophrenia using brain MRI slices. This work executes a segmentation practice to extort the brain section affected with the schizophrenia. The experimental results of this work confirm that, proposed technique offers better result on the two-dimensional MRI slices.\",\"PeriodicalId\":6744,\"journal\":{\"name\":\"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)\",\"volume\":\"45 1\",\"pages\":\"1-4\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSCAN49426.2020.9262281\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSCAN49426.2020.9262281","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

摘要

由于各种原因,大多数人类都患有各种发达的脑部疾病。如果大脑疾病在其早期阶段被识别出来,就有可能建议并实施一种治疗程序来治愈/控制疾病。精神分裂症是一种慢性脑疾病;严重影响一个人的正常行为。精神分裂症患者在思考、感觉和一般行为方面都会有问题。基于医学信号和图像的程序通常用于识别精神分裂症,并且在文献中已经讨论了相当数量的信号(EEG)辅助技术。本研究旨在利用脑MRI切片检测和分析精神分裂症。这项工作执行分割实践,以敲诈与精神分裂症影响的大脑部分。本工作的实验结果证实,该技术在二维MRI切片上具有较好的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Schizophrenia Detection using Brain MRI — A Study with Watershed Algorithm
Due to various reasons, most of the humans are suffering due a variety of developed brain sicknesses. If the brain illness is recognized in its premature phase, it is possible to suggest and implement a treatment procedure to cure/control the disease. Schizophrenia is one of the chronic brain disorders; which severely affects the normal behavior of a person. The person with schizophrenia will have problems with thinking, feeling and general behavior. Medical signal and image based procedures are commonly used to identify the schizophrenia and a considerable number of signal (EEG) assisted techniques are already discussed in the literature. The proposed work aims to detect and analyze the schizophrenia using brain MRI slices. This work executes a segmentation practice to extort the brain section affected with the schizophrenia. The experimental results of this work confirm that, proposed technique offers better result on the two-dimensional MRI slices.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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