{"title":"对纠正运动模糊的 X 光图像进行可解释的深度学习分析，确保临床决策的效率和可靠性","authors":"Ming-Chuan Chiu, Chia-Jung Wei, Jheng-Jie Li","doi":"10.1080/10420150.2024.2338368","DOIUrl":null,"url":null,"abstract":"Motion blur X-rays often lead to repeated imaging and extra radiation exposure. This study introduces an interpretable deep learning method to ensure AI prediction efficiency and reliability and us...","PeriodicalId":20965,"journal":{"name":"Radiation Effects and Defects in Solids","volume":"13 1","pages":""},"PeriodicalIF":1.1000,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Interpretable deep learning analysis on correction of motion blur X-ray images to ensure the efficiency and reliability of clinical decisions\",\"authors\":\"Ming-Chuan Chiu, Chia-Jung Wei, Jheng-Jie Li\",\"doi\":\"10.1080/10420150.2024.2338368\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Motion blur X-rays often lead to repeated imaging and extra radiation exposure. This study introduces an interpretable deep learning method to ensure AI prediction efficiency and reliability and us...\",\"PeriodicalId\":20965,\"journal\":{\"name\":\"Radiation Effects and Defects in Solids\",\"volume\":\"13 1\",\"pages\":\"\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2024-04-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Radiation Effects and Defects in Solids\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://doi.org/10.1080/10420150.2024.2338368\",\"RegionNum\":4,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"NUCLEAR SCIENCE & TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Radiation Effects and Defects in Solids","FirstCategoryId":"101","ListUrlMain":"https://doi.org/10.1080/10420150.2024.2338368","RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"NUCLEAR SCIENCE & TECHNOLOGY","Score":null,"Total":0}
Interpretable deep learning analysis on correction of motion blur X-ray images to ensure the efficiency and reliability of clinical decisions
Motion blur X-rays often lead to repeated imaging and extra radiation exposure. This study introduces an interpretable deep learning method to ensure AI prediction efficiency and reliability and us...
期刊介绍：
The Journal covers a wide range of topics under radiation and plasma sciences. The range of contributions encompasses: radiation physics; radiochemistry, radiobiology and physical effects of medical irradiation, including research on radiative cell degeneration; optical, electrical and mechanical effects of radiation, and their secondary effects such as diffusion and particle emission from surfaces; plasma techniques and plasma phenomena. On plasma science the Journal covers all areas of fusion, space and low temperature plasmas.
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