{"title":"基于自适应优化的深度信念网络用于肺癌检测和严重程度分类","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":"{\"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}","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}
Adaptive optimisation driven deep belief networks for lung cancer detection and severity level classification
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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