{"title":"Adaptive optimisation driven deep belief networks for lung cancer detection and severity level classification","authors":"M. Shanid, A. Anitha","doi":"10.1504/ijbic.2021.118101","DOIUrl":null,"url":null,"abstract":"Computed tomography (CT) for lung cancer detection is trending research in determining the lung cancer on its earlier stages. However, accurate lung cancer detection with severity levels is a major...","PeriodicalId":13636,"journal":{"name":"Int. J. Bio Inspired Comput.","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Bio Inspired Comput.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijbic.2021.118101","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Computed tomography (CT) for lung cancer detection is trending research in determining the lung cancer on its earlier stages. However, accurate lung cancer detection with severity levels is a major...
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