J. Medical Imaging Health Informatics最新文献

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Segmentation of Brain MR Image Using Modified Student's t-Mixture Model 基于改进学生t-混合模型的脑MR图像分割
J. Medical Imaging Health Informatics Pub Date : 2021-10-01 DOI: 10.1166/JMIHI.2021.3860
Qiang Huang, Yi Yu, Tianyun Wen, Jianwei Zhang, Zhangjing Yang, Fanlong Zhang, Hui Zhang
{"title":"Segmentation of Brain MR Image Using Modified Student's t-Mixture Model","authors":"Qiang Huang, Yi Yu, Tianyun Wen, Jianwei Zhang, Zhangjing Yang, Fanlong Zhang, Hui Zhang","doi":"10.1166/JMIHI.2021.3860","DOIUrl":"https://doi.org/10.1166/JMIHI.2021.3860","url":null,"abstract":"","PeriodicalId":393031,"journal":{"name":"J. Medical Imaging Health Informatics","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114846728","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
Automatic Segmentation and Classification of COVID-19 CT Image Using Deep Learning and Multi-Scale Recurrent Neural Network Based Classifier 基于深度学习和多尺度递归神经网络的COVID-19 CT图像自动分割与分类
J. Medical Imaging Health Informatics Pub Date : 2021-10-01 DOI: 10.1166/jmihi.2021.3850
R. Subhalakshmi, S. Balamurugan, S. Sasikala
{"title":"Automatic Segmentation and Classification of COVID-19 CT Image Using Deep Learning and Multi-Scale Recurrent Neural Network Based Classifier","authors":"R. Subhalakshmi, S. Balamurugan, S. Sasikala","doi":"10.1166/jmihi.2021.3850","DOIUrl":"https://doi.org/10.1166/jmihi.2021.3850","url":null,"abstract":"In recent times, the COVID-19 epidemic turn out to be increased in an extreme manner, by the accessibility of an inadequate amount of rapid testing kits. Consequently, it is essential to develop the automated techniques for Covid-19 detection to recognize the existence of disease from the radiological images. The most ordinary symptoms of COVID-19 are sore throat, fever, and dry cough. Symptoms are able to progress to a rigorous type of pneumonia with serious impediment. As medical imaging is not recommended currently in Canada for crucial COVID-19 diagnosis, systems of computer-aided diagnosis might aid in early COVID-19 abnormalities detection and help out to observe the disease progression, reduce mortality rates potentially. In this approach, a deep learning based design for feature extraction and classification is employed for automatic COVID-19 diagnosis from computed tomography (CT) images. The proposed model operates on three main processes based pre-processing, feature extraction, and classification. The proposed design incorporates the fusion of deep features using GoogLe Net models. Finally, Multi-scale Recurrent Neural network (RNN) based classifier is applied for identifying and classifying the test CT images into distinct class labels. The experimental validation of the proposed model takes place using open-source COVID-CT dataset, which comprises a total of 760 CT images. The experimental outcome defined the superior performance with the maximum sensitivity, specificity, and accuracy.","PeriodicalId":393031,"journal":{"name":"J. Medical Imaging Health Informatics","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126203165","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
Classification of Tumor of MRI Brain Image Using Hybrid Feature Extraction Method and Support Vector Machine Classifier 基于混合特征提取和支持向量机分类器的MRI脑图像肿瘤分类
J. Medical Imaging Health Informatics Pub Date : 2021-10-01 DOI: 10.1166/JMIHI.2021.3842
K. Kavinkumar, T. Meeradevi
{"title":"Classification of Tumor of MRI Brain Image Using Hybrid Feature Extraction Method and Support Vector Machine Classifier","authors":"K. Kavinkumar, T. Meeradevi","doi":"10.1166/JMIHI.2021.3842","DOIUrl":"https://doi.org/10.1166/JMIHI.2021.3842","url":null,"abstract":"","PeriodicalId":393031,"journal":{"name":"J. Medical Imaging Health Informatics","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131173116","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: 3
Analysis on Ensemble Methods for the Prediction of Cardiovascular Disease 心血管疾病预测的集成方法分析
J. Medical Imaging Health Informatics Pub Date : 2021-10-01 DOI: 10.1166/JMIHI.2021.3839
C. Murale, M. Sundarambal, R. Nedunchezhian
{"title":"Analysis on Ensemble Methods for the Prediction of Cardiovascular Disease","authors":"C. Murale, M. Sundarambal, R. Nedunchezhian","doi":"10.1166/JMIHI.2021.3839","DOIUrl":"https://doi.org/10.1166/JMIHI.2021.3839","url":null,"abstract":"","PeriodicalId":393031,"journal":{"name":"J. Medical Imaging Health Informatics","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123370608","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
Effect of Compression Force and Target or Target/Filter Combination on Mean Glandular Dose for Japanese Women in Full-Field Digital Mammography System 压缩力和靶或靶/滤光器组合对日本女性全场数字乳房x线摄影系统平均腺体剂量的影响
J. Medical Imaging Health Informatics Pub Date : 2021-10-01 DOI: 10.1166/JMIHI.2021.3862
Mie Ishii, Mai Nakamura, R. Ishii, K. Shida, T. Hatada, N. Murakami, Megumi Maeda, Rumi Okamoto, Sae Shinohara, F. Araki, Y. Higashida
{"title":"Effect of Compression Force and Target or Target/Filter Combination on Mean Glandular Dose for Japanese Women in Full-Field Digital Mammography System","authors":"Mie Ishii, Mai Nakamura, R. Ishii, K. Shida, T. Hatada, N. Murakami, Megumi Maeda, Rumi Okamoto, Sae Shinohara, F. Araki, Y. Higashida","doi":"10.1166/JMIHI.2021.3862","DOIUrl":"https://doi.org/10.1166/JMIHI.2021.3862","url":null,"abstract":"","PeriodicalId":393031,"journal":{"name":"J. Medical Imaging Health Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131525602","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: 1
Interpretation of Gait Supervising Mechanism Using Sensor Integrated Makeshift and Analysing Pattern by K-Means Clustering Algorithm 基于传感器集成临时模式的步态监测机制解释及K-Means聚类算法分析模式
J. Medical Imaging Health Informatics Pub Date : 2021-10-01 DOI: 10.1166/JMIHI.2021.3847
J. Shanthini, P. Arunkumar, S. Karthik, N. Karthikeyan
{"title":"Interpretation of Gait Supervising Mechanism Using Sensor Integrated Makeshift and Analysing Pattern by K-Means Clustering Algorithm","authors":"J. Shanthini, P. Arunkumar, S. Karthik, N. Karthikeyan","doi":"10.1166/JMIHI.2021.3847","DOIUrl":"https://doi.org/10.1166/JMIHI.2021.3847","url":null,"abstract":"","PeriodicalId":393031,"journal":{"name":"J. Medical Imaging Health Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122374769","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
Semantic Content-Based Image Retrieval System Using Deep Learning Model for Lung Cancer CT Images 基于语义内容的肺癌CT图像深度学习检索系统
J. Medical Imaging Health Informatics Pub Date : 2021-10-01 DOI: 10.1166/JMIHI.2021.3859
T. Rajasenbagam, S. Jeyanthi
{"title":"Semantic Content-Based Image Retrieval System Using Deep Learning Model for Lung Cancer CT Images","authors":"T. Rajasenbagam, S. Jeyanthi","doi":"10.1166/JMIHI.2021.3859","DOIUrl":"https://doi.org/10.1166/JMIHI.2021.3859","url":null,"abstract":"","PeriodicalId":393031,"journal":{"name":"J. Medical Imaging Health Informatics","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133597878","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: 3
Design of System Level Architecture of Multi-Core with Array Mapping Based on Floating Processing Factor-Fast Fourier Transform for Health Informatics Application 基于浮动处理因子-快速傅立叶变换的多核阵列映射系统级体系结构设计
J. Medical Imaging Health Informatics Pub Date : 2021-10-01 DOI: 10.1166/JMIHI.2021.3852
T. Sivaprakasam, M. Ramasamy
{"title":"Design of System Level Architecture of Multi-Core with Array Mapping Based on Floating Processing Factor-Fast Fourier Transform for Health Informatics Application","authors":"T. Sivaprakasam, M. Ramasamy","doi":"10.1166/JMIHI.2021.3852","DOIUrl":"https://doi.org/10.1166/JMIHI.2021.3852","url":null,"abstract":"","PeriodicalId":393031,"journal":{"name":"J. Medical Imaging Health Informatics","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127091738","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: 1
Modeling of TST Using Biological Signals and KL-Hausdorff Distance Similarity Measure for Gene Based Parkinson's Disease Recognition 基于生物信号和KL-Hausdorff距离相似性测度的TST基因识别模型
J. Medical Imaging Health Informatics Pub Date : 2021-10-01 DOI: 10.1166/JMIHI.2021.3843
B. Anusha, P. Geetha
{"title":"Modeling of TST Using Biological Signals and KL-Hausdorff Distance Similarity Measure for Gene Based Parkinson's Disease Recognition","authors":"B. Anusha, P. Geetha","doi":"10.1166/JMIHI.2021.3843","DOIUrl":"https://doi.org/10.1166/JMIHI.2021.3843","url":null,"abstract":"","PeriodicalId":393031,"journal":{"name":"J. Medical Imaging Health Informatics","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114512803","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
A Novel Tuberculosis Prediction Model by Extracting Radiological Features Present in Chest X-ray Images Using Modified Discrete Grey Wolf Optimizer Based Segmentation 基于改进离散灰太狼优化器分割的胸片放射学特征提取结核预测模型
J. Medical Imaging Health Informatics Pub Date : 2021-10-01 DOI: 10.1166/JMIHI.2021.3837
J. Kumar, S. Balamurugan, S. Sasikala
{"title":"A Novel Tuberculosis Prediction Model by Extracting Radiological Features Present in Chest X-ray Images Using Modified Discrete Grey Wolf Optimizer Based Segmentation","authors":"J. Kumar, S. Balamurugan, S. Sasikala","doi":"10.1166/JMIHI.2021.3837","DOIUrl":"https://doi.org/10.1166/JMIHI.2021.3837","url":null,"abstract":"","PeriodicalId":393031,"journal":{"name":"J. Medical Imaging Health Informatics","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126281508","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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