{"title":"Lungs Diseases Prediction based on Convolutional Neural Network","authors":"Sanika Shirsat, S. Kedar","doi":"10.1109/CCGE50943.2021.9776371","DOIUrl":null,"url":null,"abstract":"The most commonly found diseases in humanbeing is Lung diseases, which include Lung Cancer, Pneumonia and from 2020 Covid. It is essential that the lung diseases to be diagnosed timely. There are many machine learning and image processing models that have being developed to serve this purpose. The already existing algorithms serving this purpose are vanilla neural network, capsule network, and VGG. Here, Convolutional Neural Network i.e., CNN algorithm is used for lung diseases prediction based on images of Chest X-Ray. The tools used for implementation areSpyder, Keras and TensorFlow. The Kaggle repository dataset is used for the proposed model. The model yields 93% of mean accuracy. It will predict if the diseases arelung cancer, Pneumonia, covid or non.","PeriodicalId":130452,"journal":{"name":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCGE50943.2021.9776371","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The most commonly found diseases in humanbeing is Lung diseases, which include Lung Cancer, Pneumonia and from 2020 Covid. It is essential that the lung diseases to be diagnosed timely. There are many machine learning and image processing models that have being developed to serve this purpose. The already existing algorithms serving this purpose are vanilla neural network, capsule network, and VGG. Here, Convolutional Neural Network i.e., CNN algorithm is used for lung diseases prediction based on images of Chest X-Ray. The tools used for implementation areSpyder, Keras and TensorFlow. The Kaggle repository dataset is used for the proposed model. The model yields 93% of mean accuracy. It will predict if the diseases arelung cancer, Pneumonia, covid or non.