S. Bayoumi, Munirah Alghamlas, A. Alshehri, Maitha Alruthae
{"title":"A Review on Scientific Visualization. Case study: Breast Cancer","authors":"S. Bayoumi, Munirah Alghamlas, A. Alshehri, Maitha Alruthae","doi":"10.1109/NCG.2018.8593098","DOIUrl":null,"url":null,"abstract":"Scientific and information visualisation all belong to the computer graphics and design. The goal is too precise data, to improve understanding of the data being presented and interested in presenting data to users, by images. In this paper, we reviewed some papers on scientific visualisation, and we took the path to the medical visualisation to visualise medical data especially breast cancer diagnosis data. We evaluated visualisation techniques that enable diagnosis of a tumour whether it is malignant or benign based on parameters. We presented an interactive visualisation based on research studies to help doctors, patients or researchers to diagnosis whether a tumour is malignant or benign by using our visualisation after calculating the parameters (perimeter worst, radius worst, concave points worst etc.)","PeriodicalId":305464,"journal":{"name":"2018 21st Saudi Computer Society National Computer Conference (NCC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 21st Saudi Computer Society National Computer Conference (NCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NCG.2018.8593098","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Scientific and information visualisation all belong to the computer graphics and design. The goal is too precise data, to improve understanding of the data being presented and interested in presenting data to users, by images. In this paper, we reviewed some papers on scientific visualisation, and we took the path to the medical visualisation to visualise medical data especially breast cancer diagnosis data. We evaluated visualisation techniques that enable diagnosis of a tumour whether it is malignant or benign based on parameters. We presented an interactive visualisation based on research studies to help doctors, patients or researchers to diagnosis whether a tumour is malignant or benign by using our visualisation after calculating the parameters (perimeter worst, radius worst, concave points worst etc.)