A. Lakshmi, Manjunathan Alagarsamy, A. Anbarasa Pandian, Dinesh Paramathi Mani
{"title":"用海洋捕食者优化算法优化的进化引力新认知神经网络用于核磁共振成像脑肿瘤分类","authors":"A. Lakshmi, Manjunathan Alagarsamy, A. Anbarasa Pandian, Dinesh Paramathi Mani","doi":"10.1080/15368378.2024.2301952","DOIUrl":null,"url":null,"abstract":"Magnetic resonance imaging (MRI) is a powerful tool for tumor diagnosis in human brain. Here, the MRI images are considered to detect the brain tumor and classify the regions as meningioma, glioma,...","PeriodicalId":50544,"journal":{"name":"Electromagnetic Biology and Medicine","volume":"12 1","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2024-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evolutionary gravitational neocognitron neural network optimized with marine predators optimization algorithm for MRI brain tumor classification\",\"authors\":\"A. Lakshmi, Manjunathan Alagarsamy, A. Anbarasa Pandian, Dinesh Paramathi Mani\",\"doi\":\"10.1080/15368378.2024.2301952\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Magnetic resonance imaging (MRI) is a powerful tool for tumor diagnosis in human brain. Here, the MRI images are considered to detect the brain tumor and classify the regions as meningioma, glioma,...\",\"PeriodicalId\":50544,\"journal\":{\"name\":\"Electromagnetic Biology and Medicine\",\"volume\":\"12 1\",\"pages\":\"\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2024-01-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Electromagnetic Biology and Medicine\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1080/15368378.2024.2301952\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electromagnetic Biology and Medicine","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1080/15368378.2024.2301952","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOLOGY","Score":null,"Total":0}
Evolutionary gravitational neocognitron neural network optimized with marine predators optimization algorithm for MRI brain tumor classification
Magnetic resonance imaging (MRI) is a powerful tool for tumor diagnosis in human brain. Here, the MRI images are considered to detect the brain tumor and classify the regions as meningioma, glioma,...
期刊介绍:
Aims & Scope: Electromagnetic Biology and Medicine, publishes peer-reviewed research articles on the biological effects and medical applications of non-ionizing electromagnetic fields (from extremely-low frequency to radiofrequency). Topic examples include in vitro and in vivo studies, epidemiological investigation, mechanism and mode of interaction between non-ionizing electromagnetic fields and biological systems. In addition to publishing original articles, the journal also publishes meeting summaries and reports, and reviews on selected topics.