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Artificial Intelligence in Medical Imaging最新文献

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Current status of deep learning in abdominal image reconstruction 深度学习在腹部图像重建中的研究现状
Artificial Intelligence in Medical Imaging Pub Date : 2021-08-28 DOI: 10.35711/aimi.v2.i4.86
Guangyuan Li, Chengyan Wang, Jun Lv
{"title":"Current status of deep learning in abdominal image reconstruction","authors":"Guangyuan Li, Chengyan Wang, Jun Lv","doi":"10.35711/aimi.v2.i4.86","DOIUrl":"https://doi.org/10.35711/aimi.v2.i4.86","url":null,"abstract":"Abdominal magnetic resonance imaging (MRI) and computed tomography (CT) are commonly used for disease screening, diagnosis, and treatment guidance. However, abdominal MRI has disadvantages including slow speed and vulnerability to motions, while CT suffers from problems of radiation. It has been reported that deep learning reconstruction can solve such problems while maintaining good image quality. Recently, deep learning-based image reconstruction has become a hot topic in the field of medical imaging. This study reviews the latest research on deep learning reconstruction in abdominal imaging, including the widely used convolutional neural network, generative adversarial network, and recurrent neural network.","PeriodicalId":253608,"journal":{"name":"Artificial Intelligence in Medical Imaging","volume":"185 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128205209","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
Artificial intelligence in coronary computed tomography angiography 人工智能在冠状动脉计算机断层造影中的应用
Artificial Intelligence in Medical Imaging Pub Date : 2021-06-28 DOI: 10.35711/aimi.v2.i3.73
Zhe-zhe Zhang, Yan Guo, Yang Hou
{"title":"Artificial intelligence in coronary computed tomography angiography","authors":"Zhe-zhe Zhang, Yan Guo, Yang Hou","doi":"10.35711/aimi.v2.i3.73","DOIUrl":"https://doi.org/10.35711/aimi.v2.i3.73","url":null,"abstract":"","PeriodicalId":253608,"journal":{"name":"Artificial Intelligence in Medical Imaging","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129332719","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
Application of radiomics in hepatocellular carcinoma: A review 放射组学在肝细胞癌中的应用综述
Artificial Intelligence in Medical Imaging Pub Date : 2021-06-28 DOI: 10.35711/aimi.v2.i3.64
Z. Jin, B. Zhong
{"title":"Application of radiomics in hepatocellular carcinoma: A review","authors":"Z. Jin, B. Zhong","doi":"10.35711/aimi.v2.i3.64","DOIUrl":"https://doi.org/10.35711/aimi.v2.i3.64","url":null,"abstract":"","PeriodicalId":253608,"journal":{"name":"Artificial Intelligence in Medical Imaging","volume":"321 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133579314","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
Implementation of lung ultrasound in the triage of pregnant women during the SARS-CoV-2 pandemics SARS-CoV-2大流行期间孕妇肺超声分诊的实施
Artificial Intelligence in Medical Imaging Pub Date : 2021-06-28 DOI: 10.35711/aimi.v2.i3.56
A. Tekin, M. Yassa
{"title":"Implementation of lung ultrasound in the triage of pregnant women during the SARS-CoV-2 pandemics","authors":"A. Tekin, M. Yassa","doi":"10.35711/aimi.v2.i3.56","DOIUrl":"https://doi.org/10.35711/aimi.v2.i3.56","url":null,"abstract":"Implementation of lung ultrasound in the triage of pregnant women during the SARS-CoV-2 pandemics","PeriodicalId":253608,"journal":{"name":"Artificial Intelligence in Medical Imaging","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114445832","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
Artificial intelligence in radiation oncology 放射肿瘤学中的人工智能
Artificial Intelligence in Medical Imaging Pub Date : 2021-04-28 DOI: 10.35711/AIMI.V2.I2.13
M. Yakar, D. Etiz
{"title":"Artificial intelligence in radiation oncology","authors":"M. Yakar, D. Etiz","doi":"10.35711/AIMI.V2.I2.13","DOIUrl":"https://doi.org/10.35711/AIMI.V2.I2.13","url":null,"abstract":"Artificial intelligence (AI) is a computer science that tries to mimic human-like intelligence in machines that use computer software and algorithms to perform specific tasks without direct human input. Machine learning (ML) is a subunit of AI that uses data-driven algorithms that learn to imitate human behavior based on a previous example or experience. Deep learning is an ML technique that uses deep neural networks to create a model. The growth and sharing of data, increasing computing power, and developments in AI have initiated a transformation in healthcare. Advances in radiation oncology have produced a significant amount of data that must be integrated with computed tomography imaging, dosimetry, and imaging performed before each fraction. Of the many algorithms used in radiation oncology, has advantages and limitations with different computational power requirements. The aim of this review is to summarize the radiotherapy (RT) process in workflow order by identifying specific areas in which quality and efficiency can be improved by ML. The RT stage is divided into seven stages: patient evaluation, simulation, contouring, planning, quality control, treatment application, and patient follow-up. A systematic evaluation of the applicability, limitations, and advantages of AI algorithms has been done for each stage.","PeriodicalId":253608,"journal":{"name":"Artificial Intelligence in Medical Imaging","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114656019","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: 8
Predicting a live birth by artificial intelligence incorporating both the blastocyst image and conventional embryo evaluation parameters 结合囊胚图像和常规胚胎评估参数的人工智能预测活产
Artificial Intelligence in Medical Imaging Pub Date : 2020-09-28 DOI: 10.35711/AIMI.V1.I3.94
Yasunari Miyagi, T. Habara, R. Hirata, N. Hayashi
{"title":"Predicting a live birth by artificial intelligence incorporating both the blastocyst image and conventional embryo evaluation parameters","authors":"Yasunari Miyagi, T. Habara, R. Hirata, N. Hayashi","doi":"10.35711/AIMI.V1.I3.94","DOIUrl":"https://doi.org/10.35711/AIMI.V1.I3.94","url":null,"abstract":"Predicting a live birth by artificial intelligence incorporating both the blastocyst image and conventional embryo evaluation parameters","PeriodicalId":253608,"journal":{"name":"Artificial Intelligence in Medical Imaging","volume":"147 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115532807","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: 7
Conclusions 结论
Artificial Intelligence in Medical Imaging Pub Date : 2019-11-25 DOI: 10.1201/9780367229184-5
L. Morra, S. Delsanto, L. Correale
{"title":"Conclusions","authors":"L. Morra, S. Delsanto, L. Correale","doi":"10.1201/9780367229184-5","DOIUrl":"https://doi.org/10.1201/9780367229184-5","url":null,"abstract":"","PeriodicalId":253608,"journal":{"name":"Artificial Intelligence in Medical Imaging","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127332140","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
Fundamentals of Machine Learning 机器学习基础
Artificial Intelligence in Medical Imaging Pub Date : 2019-11-25 DOI: 10.1201/9780367229184-1
L. Morra, S. Delsanto, L. Correale
{"title":"Fundamentals of Machine Learning","authors":"L. Morra, S. Delsanto, L. Correale","doi":"10.1201/9780367229184-1","DOIUrl":"https://doi.org/10.1201/9780367229184-1","url":null,"abstract":"","PeriodicalId":253608,"journal":{"name":"Artificial Intelligence in Medical Imaging","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132967661","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
Deep Learning and Machine Learning in Imaging: Basic Principles 图像中的深度学习和机器学习:基本原理
Artificial Intelligence in Medical Imaging Pub Date : 2019-01-29 DOI: 10.1007/978-3-319-94878-2_4
B. Erickson
{"title":"Deep Learning and Machine Learning in Imaging: Basic Principles","authors":"B. Erickson","doi":"10.1007/978-3-319-94878-2_4","DOIUrl":"https://doi.org/10.1007/978-3-319-94878-2_4","url":null,"abstract":"","PeriodicalId":253608,"journal":{"name":"Artificial Intelligence in Medical Imaging","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123167923","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: 10
Enterprise Imaging 企业成像
Artificial Intelligence in Medical Imaging Pub Date : 1900-01-01 DOI: 10.1007/978-3-319-94878-2_9
P. Mildenberger
{"title":"Enterprise Imaging","authors":"P. Mildenberger","doi":"10.1007/978-3-319-94878-2_9","DOIUrl":"https://doi.org/10.1007/978-3-319-94878-2_9","url":null,"abstract":"","PeriodicalId":253608,"journal":{"name":"Artificial Intelligence in Medical Imaging","volume":"31 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":"114915625","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
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