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Machine Learning in Healthcare 医疗保健中的机器学习
AI Innovation in Medical Imaging Diagnostics Pub Date : 2021-11-18 DOI: 10.4018/978-1-7998-3092-4.CH002
Debasree Mitra, Apurba Paul, Sumanta Chatterjee
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引用次数: 0
Feature Selection Using Random Forest Algorithm to Diagnose Tuberculosis From Lung CT Images 基于随机森林算法的特征选择诊断肺部CT图像结核
AI Innovation in Medical Imaging Diagnostics Pub Date : 2020-05-18 DOI: 10.37896/jxu14.5/396
B. Rajendran, K. Kanimozhi
{"title":"Feature Selection Using Random Forest Algorithm to Diagnose Tuberculosis From Lung CT Images","authors":"B. Rajendran, K. Kanimozhi","doi":"10.37896/jxu14.5/396","DOIUrl":"https://doi.org/10.37896/jxu14.5/396","url":null,"abstract":"Tuberculosis is one of the hazardous infectious diseases that can be categorized by the evolution of tubercles in the tissues. This disease mainly affects the lungs and also the other parts of the body. The disease can be easily diagnosed by the radiologists. The main objective of this chapter is to get best solution selected by means of modified particle swarm optimization is regarded as optimal feature descriptor. Five stages are being used to detect tuberculosis disease. They are pre-processing an image, segmenting the lungs and extracting the feature, feature selection and classification. These stages that are used in medical image processing to identify the tuberculosis. In the feature extraction, the GLCM approach is used to extract the features and from the extracted feature sets the optimal features are selected by random forest. Finally, support vector machine classifier method is used for image classification. The experimentation is done, and intermediate results are obtained. The proposed system accuracy results are better than the existing method in classification.","PeriodicalId":447589,"journal":{"name":"AI Innovation in Medical Imaging Diagnostics","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114417594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An Ensemble Feature Subset Selection for Women Breast Cancer Classification 女性乳腺癌分类的集成特征子集选择
AI Innovation in Medical Imaging Diagnostics Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-3092-4.CH006
A. Kalaivani
{"title":"An Ensemble Feature Subset Selection for Women Breast Cancer Classification","authors":"A. Kalaivani","doi":"10.4018/978-1-7998-3092-4.CH006","DOIUrl":"https://doi.org/10.4018/978-1-7998-3092-4.CH006","url":null,"abstract":"Breast cancer leads to fatal diseases both in India and America and takes the lives of thousands of women in the world every year. The patients can be easily treated if the signs and symptoms are identified at the early stages. But the symptoms identified at the final stage spreads in the human body, and most of the time, the cancer is identified at the final stage. Breast cancer detected at the early stage is treated easily rather than at the advanced stage. Computer-aided diagnosis came into existence from 2000 with high expectations to improve true positive diagnosis and reduce false positive marks. Artificial intelligence revolved in computing drives the attention of deep learning for an automated breast cancer detection and diagnosis in digital mammography. The chapter focuses on automatic feature selection algorithm for diagnosis of women breast cancer from digital mammographic images achieved through multi-layer perceptron techniques.","PeriodicalId":447589,"journal":{"name":"AI Innovation in Medical Imaging Diagnostics","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124192990","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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