{"title":"A Comprehensive Analysis of Identifying Lung Cancer via Different Machine Learning Approach","authors":"G. Paliwal, U. Kurmi","doi":"10.1109/SMART52563.2021.9675304","DOIUrl":null,"url":null,"abstract":"Now a day’s lungs are very important body part due to indomitable cancer problem rice in patient. Lung cancer is the most harmful disease in human life. There are many patients, how safer from cancer now a day’s also suffer from covid related problems. In this survey paper discuss the different machine learning approach to disease lung cancer. for the detection of lung cancer. using machine learning first we collection the training data set for testing data set with the help of training of data set we have to learn system learn machine to disease the lung cancer. In this article discuss different machine learning approach for cancer detection using medical image processing (MIP) techniques. Image proceeding’s help to detection the cancer and machine learning technique prediction cell origination. Deep neural network is powerful tool for detection such type of deceases detection. In the review discuss the different techniques and it’s specification.","PeriodicalId":356096,"journal":{"name":"2021 10th International Conference on System Modeling & Advancement in Research Trends (SMART)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 10th International Conference on System Modeling & Advancement in Research Trends (SMART)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SMART52563.2021.9675304","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Now a day’s lungs are very important body part due to indomitable cancer problem rice in patient. Lung cancer is the most harmful disease in human life. There are many patients, how safer from cancer now a day’s also suffer from covid related problems. In this survey paper discuss the different machine learning approach to disease lung cancer. for the detection of lung cancer. using machine learning first we collection the training data set for testing data set with the help of training of data set we have to learn system learn machine to disease the lung cancer. In this article discuss different machine learning approach for cancer detection using medical image processing (MIP) techniques. Image proceeding’s help to detection the cancer and machine learning technique prediction cell origination. Deep neural network is powerful tool for detection such type of deceases detection. In the review discuss the different techniques and it’s specification.