{"title":"Brain Tumor Detection using Novel Kernel Extreme Learning with Deep Belief Network and Compare Prediction Accuracy with Fuzzy C-means Clustering","authors":"V. V. Vardhan Reddy, U. S","doi":"10.1109/ICTACS56270.2022.9988190","DOIUrl":null,"url":null,"abstract":"To identify the brain tumor according to the categorical identification by using the symptoms. Materials and Methods: To identify brain tumor using Kernel Extreme Learning Machine with improved accuracy over Fuzzy C-means clustering. Results: The proposed hybrid Kernel Extreme Learning Machine approach gives accuracy 93.31% which is significantly better in classification when compared to Fuzzy C-means clustering which has less accuracy 80.14%.and level of significance is 0.01 (p<0.05). Conclusion: Identifying brain tumor was achieved significantly better by using Kernel Extreme Learning Machine compared to Fuzzy C-means clustering.","PeriodicalId":385163,"journal":{"name":"2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTACS56270.2022.9988190","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
To identify the brain tumor according to the categorical identification by using the symptoms. Materials and Methods: To identify brain tumor using Kernel Extreme Learning Machine with improved accuracy over Fuzzy C-means clustering. Results: The proposed hybrid Kernel Extreme Learning Machine approach gives accuracy 93.31% which is significantly better in classification when compared to Fuzzy C-means clustering which has less accuracy 80.14%.and level of significance is 0.01 (p<0.05). Conclusion: Identifying brain tumor was achieved significantly better by using Kernel Extreme Learning Machine compared to Fuzzy C-means clustering.