{"title":"分形维数在MRI肝脏图像纹理分析中的应用","authors":"Ewelina Bebas","doi":"10.1109/BIOMDLORE.2018.8467210","DOIUrl":null,"url":null,"abstract":"The computer representation of the medical image is the image matrix, where the gray levels corresponding to the element with the coordinates x, y create a more or less complex surface whose shape is far from smooth [4]. The study presents a study of homogeneous liver structures of MRI images using two fractal image analysis methods and the determination of those that are insensitive to the size change of the area of interest.","PeriodicalId":151729,"journal":{"name":"2018 International Conference BIOMDLORE","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fractal Dimensions in the Texture Analysis of MRI Liver Images\",\"authors\":\"Ewelina Bebas\",\"doi\":\"10.1109/BIOMDLORE.2018.8467210\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The computer representation of the medical image is the image matrix, where the gray levels corresponding to the element with the coordinates x, y create a more or less complex surface whose shape is far from smooth [4]. The study presents a study of homogeneous liver structures of MRI images using two fractal image analysis methods and the determination of those that are insensitive to the size change of the area of interest.\",\"PeriodicalId\":151729,\"journal\":{\"name\":\"2018 International Conference BIOMDLORE\",\"volume\":\"67 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference BIOMDLORE\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BIOMDLORE.2018.8467210\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference BIOMDLORE","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIOMDLORE.2018.8467210","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fractal Dimensions in the Texture Analysis of MRI Liver Images
The computer representation of the medical image is the image matrix, where the gray levels corresponding to the element with the coordinates x, y create a more or less complex surface whose shape is far from smooth [4]. The study presents a study of homogeneous liver structures of MRI images using two fractal image analysis methods and the determination of those that are insensitive to the size change of the area of interest.
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