Medical Imaging: Image Perception, Observer Performance, and Technology Assessment最新文献

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Towards understanding perception in the latest era of AI in medical imaging (Conference Presentation) 在最新的医学影像人工智能时代理解感知(会议报告)
M. Giger
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引用次数: 0
The relationship between breast screening readers' real-life performance and their associated performance on the PERFORMS scheme (Conference Presentation) 乳房筛查读者的实际表现与其在perform计划中的相关表现之间的关系(会议介绍)
L. Dong, J. Jenkins, E. Cornford, Yan Chen
{"title":"The relationship between breast screening readers' real-life performance and their associated performance on the PERFORMS scheme (Conference Presentation)","authors":"L. Dong, J. Jenkins, E. Cornford, Yan Chen","doi":"10.1117/12.2512474","DOIUrl":"https://doi.org/10.1117/12.2512474","url":null,"abstract":"Breast Screening Information System (BSIS) records all breast screening personnel’s quality assurance results for England. The PERFORMS self-assessment scheme also invites these individuals to take part annually to report a series of challenging breast screening cases and feedback to them to help them improve their real life screening performance. How PERFORMS data relate to actual screening performance were investigated between these two sets of data. In this study, 582 screeners consented to take part. Their performance over a three-year period were acquired from BSIS database. Also, each individual’s comparative data were extracted from the PERFORMS database over the same time period and the relationship between the two sets of measures were examined. 533 participants’ data were successfully matched and validated. A kendall’s tau-b correlation was run to determine the relationship between the PPV values calculated from real-life data (cancer detected/ total recalls) over the past three years and the PERFORMS average PPV values over the same period. There was a strong, positive correlation between them, which was statistically significant (τb = .141, p <.01) confirming that PERFORMS data accurately reflect real life screening performance. It can be concluded that the PERFORMS scheme could potentially be used to provide early indication of individual performance and helped them improve appropriately. More detailed analysis will also test the cancer detection rate, recall rate and discrepant cancers to see if more measures from real life performance can be reflected by PERFORMS data.","PeriodicalId":359189,"journal":{"name":"Medical Imaging: Image Perception, Observer Performance, and Technology Assessment","volume":"480 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117296465","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
Medical Imaging 2018: Image Perception, Observer Performance, and Technology Assessment, Houston, Texas, United States, 10-15 February 2018 医学成像2018:图像感知、观察者表现和技术评估,休斯顿,德克萨斯州,美国,2018年2月10日至15日
R. Nishikawa, F. Samuelson
{"title":"Medical Imaging 2018: Image Perception, Observer Performance, and Technology Assessment, Houston, Texas, United States, 10-15 February 2018","authors":"R. Nishikawa, F. Samuelson","doi":"10.1117/12.2323943","DOIUrl":"https://doi.org/10.1117/12.2323943","url":null,"abstract":"","PeriodicalId":359189,"journal":{"name":"Medical Imaging: Image Perception, Observer Performance, and Technology Assessment","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116762466","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: 2
Front Matter: Volume 9787 封面:第9787卷
{"title":"Front Matter: Volume 9787","authors":"","doi":"10.1117/12.2241020","DOIUrl":"https://doi.org/10.1117/12.2241020","url":null,"abstract":"","PeriodicalId":359189,"journal":{"name":"Medical Imaging: Image Perception, Observer Performance, and Technology Assessment","volume":"128129 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":"134603910","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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