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Front Matter: Volume 12469 封面:第12469卷
影像研究与医学应用 Pub Date : 2023-05-09 DOI: 10.1117/12.2682178
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引用次数: 0
Federated learning: how the world's biggest federation is training state-of-the-art brain tumor segmentation models 联合学习:世界上最大的联盟如何训练最先进的脑肿瘤分割模型
影像研究与医学应用 Pub Date : 2023-04-10 DOI: 10.1117/12.2660864
Prashant Shah
{"title":"Federated learning: how the world's biggest federation is training state-of-the-art brain tumor segmentation models","authors":"Prashant Shah","doi":"10.1117/12.2660864","DOIUrl":"https://doi.org/10.1117/12.2660864","url":null,"abstract":"","PeriodicalId":57954,"journal":{"name":"影像研究与医学应用","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78760900","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 fully digitally integrated workflow for brain MRI Point Cloud generation and augmented reality 3D model visualization 脑MRI点云生成和增强现实3D模型可视化的完全数字化集成工作流
影像研究与医学应用 Pub Date : 2023-04-10 DOI: 10.1117/12.2654414
{"title":"A fully digitally integrated workflow for brain MRI Point Cloud generation and augmented reality 3D model visualization","authors":"","doi":"10.1117/12.2654414","DOIUrl":"https://doi.org/10.1117/12.2654414","url":null,"abstract":"","PeriodicalId":57954,"journal":{"name":"影像研究与医学应用","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77021328","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
Multi-view graph neural network for interpreting multi-omics biomarkers in Schizophrenia 用于解释精神分裂症多组学生物标志物的多视图图神经网络
影像研究与医学应用 Pub Date : 2022-04-04 DOI: 10.1117/12.2611902
B. Patel
{"title":"Multi-view graph neural network for interpreting multi-omics biomarkers in Schizophrenia","authors":"B. Patel","doi":"10.1117/12.2611902","DOIUrl":"https://doi.org/10.1117/12.2611902","url":null,"abstract":"","PeriodicalId":57954,"journal":{"name":"影像研究与医学应用","volume":"16 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72573503","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
Deep learning pipeline for brain MRI acquisition type classification 脑MRI采集类型分类的深度学习管道
影像研究与医学应用 Pub Date : 2021-04-20 DOI: 10.1117/12.2581857
Hossein Mohammadian Foroushani, P. LaMontagne, L. Wallace, J. Gurney, D. Marcus
{"title":"Deep learning pipeline for brain MRI acquisition type classification","authors":"Hossein Mohammadian Foroushani, P. LaMontagne, L. Wallace, J. Gurney, D. Marcus","doi":"10.1117/12.2581857","DOIUrl":"https://doi.org/10.1117/12.2581857","url":null,"abstract":"We have developed an effective deep learning pipeline to classify brain magnetic resonance imaging scans automatically into 12 subcategories. The classification is performed by a meta classifier which receives level one predictions from Microsoft's Residual Networks (ResNet), Google’s Neural Architecture Search Network (NASNet) and a text-based classifier on DICOM header series description and combine them to get final classification. The overall classifier was trained, validated and tested on 2750 MRI images from multicenter projects. The classifier was packaged using Docker containerization technology and deployed on a local XNAT instance and tested on 3000 independent imaging sessions with 98.5% accuracy.","PeriodicalId":57954,"journal":{"name":"影像研究与医学应用","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83843165","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
Study for metastasis prediction of head and neck squamous cell carcinomas using RNA-sequencing data and PET image feature 应用rna测序数据和PET图像特征预测头颈部鳞状细胞癌转移的研究
影像研究与医学应用 Pub Date : 2021-02-15 DOI: 10.1117/12.2582020
S. Woo, I. Lim, Jingyu Kim, Byung-chul Kim
{"title":"Study for metastasis prediction of head and neck squamous cell carcinomas using RNA-sequencing data and PET image feature","authors":"S. Woo, I. Lim, Jingyu Kim, Byung-chul Kim","doi":"10.1117/12.2582020","DOIUrl":"https://doi.org/10.1117/12.2582020","url":null,"abstract":"The aim of this study is to predict the head and neck squamous cell carcinomas (HNSCs) patient metastasis using PET radiomics with RNA-sequencing data. We performed Gene set enrichment analysis (GSEA) and identified 72 genes have important roles as Epithelial mesenchymal transition (EMT) functional modules by the mount of gene expression pattern during the cancer metastasis. The 47 features were extracted form PET images by local image features extraction. GLZLM_LZHGE and CXCL6, SHAPE_Volume and CLCL6, GLCM_Energy and COL11A1 identified as a high relation by P-value. The test and training value PETr and FEG were 0.45 and 0.50 in LR and 0.75 and 0.83 in GB, respectively.","PeriodicalId":57954,"journal":{"name":"影像研究与医学应用","volume":"24 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91115802","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
Front Matter: Volume 11318 前题:卷11318
影像研究与医学应用 Pub Date : 2020-03-11 DOI: 10.1117/12.2570206
Po-Hao Chen, T. Deserno
{"title":"Front Matter: Volume 11318","authors":"Po-Hao Chen, T. Deserno","doi":"10.1117/12.2570206","DOIUrl":"https://doi.org/10.1117/12.2570206","url":null,"abstract":"","PeriodicalId":57954,"journal":{"name":"影像研究与医学应用","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82976736","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
Front Matter: Volume 10954 封面:第10954卷
影像研究与医学应用 Pub Date : 2019-06-14 DOI: 10.1117/12.2533352
{"title":"Front Matter: Volume 10954","authors":"","doi":"10.1117/12.2533352","DOIUrl":"https://doi.org/10.1117/12.2533352","url":null,"abstract":"","PeriodicalId":57954,"journal":{"name":"影像研究与医学应用","volume":"48 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80581094","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
Front Matter: Volume 11601 封面:第11601卷
影像研究与医学应用 Pub Date : 1900-01-01 DOI: 10.1117/12.2595460
{"title":"Front Matter: Volume 11601","authors":"","doi":"10.1117/12.2595460","DOIUrl":"https://doi.org/10.1117/12.2595460","url":null,"abstract":"","PeriodicalId":57954,"journal":{"name":"影像研究与医学应用","volume":"134 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72444228","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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