{"title":"基于痰液彩色图像分析的肺癌早期检测","authors":"F. Taher, H. Al-Ahmad, N. Werghi","doi":"10.1109/ICECS.2013.6815345","DOIUrl":null,"url":null,"abstract":"Lung cancer has been the largest cause of cancer deaths worldwide with an overall 5-year survival rate of only 15%. Its symptoms can be detected only in advanced stages where the patient's chance of survival is very low, thus causing the mortality rate to be the highest among all other types of cancer.","PeriodicalId":117453,"journal":{"name":"2013 IEEE 20th International Conference on Electronics, Circuits, and Systems (ICECS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Early detection of lung cancer based on sputum color image analysis\",\"authors\":\"F. Taher, H. Al-Ahmad, N. Werghi\",\"doi\":\"10.1109/ICECS.2013.6815345\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Lung cancer has been the largest cause of cancer deaths worldwide with an overall 5-year survival rate of only 15%. Its symptoms can be detected only in advanced stages where the patient's chance of survival is very low, thus causing the mortality rate to be the highest among all other types of cancer.\",\"PeriodicalId\":117453,\"journal\":{\"name\":\"2013 IEEE 20th International Conference on Electronics, Circuits, and Systems (ICECS)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-01-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE 20th International Conference on Electronics, Circuits, and Systems (ICECS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICECS.2013.6815345\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE 20th International Conference on Electronics, Circuits, and Systems (ICECS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECS.2013.6815345","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Early detection of lung cancer based on sputum color image analysis
Lung cancer has been the largest cause of cancer deaths worldwide with an overall 5-year survival rate of only 15%. Its symptoms can be detected only in advanced stages where the patient's chance of survival is very low, thus causing the mortality rate to be the highest among all other types of cancer.
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