{"title":"不同分割算法在FLAIR序列MR图像中肿瘤边界的确定","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":"{\"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}","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}
Determination of Tumor Boundaries in FLAIR Sequence MR Image with Different Image Segmentation Algorithms
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.