D. Vasanthi, U. Palani, M. Vishnupriya, K. Saundariya
{"title":"Detection of Tumor by Fusing Medical Images using Artificial Neural Network","authors":"D. Vasanthi, U. Palani, M. Vishnupriya, K. Saundariya","doi":"10.1109/ICSCAN53069.2021.9526521","DOIUrl":null,"url":null,"abstract":"In Medical Image fusion, images from multiple imaging modalities are combined together to render accurate analysis of a given medical phenomenon. It helps in increasing the quality of the image thus reducing redundancy. The fusion of these medical images assists the medics in diagnosing and evaluating the medical hindrance and thereby helps them in providing the necessary treatment. This paper focuses on decomposition and feature extraction of the medical images using Artificial Neural Network (ANN). Artificial Neural Network consists of artificial neurons which are the collection of connected units or nodes. These nodes are used to loosely model the neurons in the biological brain. The proposed algorithm reduces the computational complexity by employing it to achieve image fusion.","PeriodicalId":393569,"journal":{"name":"2021 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on System, Computation, Automation and Networking (ICSCAN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSCAN53069.2021.9526521","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In Medical Image fusion, images from multiple imaging modalities are combined together to render accurate analysis of a given medical phenomenon. It helps in increasing the quality of the image thus reducing redundancy. The fusion of these medical images assists the medics in diagnosing and evaluating the medical hindrance and thereby helps them in providing the necessary treatment. This paper focuses on decomposition and feature extraction of the medical images using Artificial Neural Network (ANN). Artificial Neural Network consists of artificial neurons which are the collection of connected units or nodes. These nodes are used to loosely model the neurons in the biological brain. The proposed algorithm reduces the computational complexity by employing it to achieve image fusion.