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}
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.