{"title":"模拟医学图像判读","authors":"N. Gal, V. Stoicu-Tivadar","doi":"10.1109/INES.2011.5954715","DOIUrl":null,"url":null,"abstract":"Medical images carry information in a complex data format about the organ and the related pathologies. Physicians must decipher this information from the image. In this paper a workflow of the image interpretation simulation and a set of numerical image processing algorithms are presented. The paper is focused on the available segmentation and feature extraction methods. The main goal is to create a framework to identify the most suitable segmentation and feature extraction method for a medical image interpretation system.","PeriodicalId":414812,"journal":{"name":"2011 15th IEEE International Conference on Intelligent Engineering Systems","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Simulation of medical image interpretation\",\"authors\":\"N. Gal, V. Stoicu-Tivadar\",\"doi\":\"10.1109/INES.2011.5954715\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Medical images carry information in a complex data format about the organ and the related pathologies. Physicians must decipher this information from the image. In this paper a workflow of the image interpretation simulation and a set of numerical image processing algorithms are presented. The paper is focused on the available segmentation and feature extraction methods. The main goal is to create a framework to identify the most suitable segmentation and feature extraction method for a medical image interpretation system.\",\"PeriodicalId\":414812,\"journal\":{\"name\":\"2011 15th IEEE International Conference on Intelligent Engineering Systems\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 15th IEEE International Conference on Intelligent Engineering Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INES.2011.5954715\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 15th IEEE International Conference on Intelligent Engineering Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INES.2011.5954715","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Medical images carry information in a complex data format about the organ and the related pathologies. Physicians must decipher this information from the image. In this paper a workflow of the image interpretation simulation and a set of numerical image processing algorithms are presented. The paper is focused on the available segmentation and feature extraction methods. The main goal is to create a framework to identify the most suitable segmentation and feature extraction method for a medical image interpretation system.