Deep learning-based automated segmentation and quantification of aortic arch calcification at chest radiograph.

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Title: Deep learning-based automated segmentation and quantification of aortic arch calcification at chest radiograph.
Authors: Yin L; Department of Cardiology, Joint Laboratory of Guangdong-Hong Kong-Macao Universities for Nutritional Metabolism and Precise Prevention and Control of Major Chronic Diseases, the Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China., Li S; Department of Cardiology, Joint Laboratory of Guangdong-Hong Kong-Macao Universities for Nutritional Metabolism and Precise Prevention and Control of Major Chronic Diseases, the Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China., Zhang L; Department of Cardiology, the Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China., Gao Z; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China., Liu Y; Department of Cardiology, Joint Laboratory of Guangdong-Hong Kong-Macao Universities for Nutritional Metabolism and Precise Prevention and Control of Major Chronic Diseases, the Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China., Wang Q; Department of Radiology, the Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China., Zhang H; Department of Cardiology, Joint Laboratory of Guangdong-Hong Kong-Macao Universities for Nutritional Metabolism and Precise Prevention and Control of Major Chronic Diseases, the Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China. huanji13688808979@163.com., Zhang T; Department of Cardiology, Joint Laboratory of Guangdong-Hong Kong-Macao Universities for Nutritional Metabolism and Precise Prevention and Control of Major Chronic Diseases, the Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China. zhangtt73@mail.sysu.edu.cn., Chen J; Department of Radiotherapy, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China. 1450517759@qq.com., Huang H; Department of Cardiology, Joint Laboratory of Guangdong-Hong Kong-Macao Universities for Nutritional Metabolism and Precise Prevention and Control of Major Chronic Diseases, the Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China. huangh8@mail.sysu.edu.cn.
Source: BMC geriatrics [BMC Geriatr] 2026 May 11; Vol. 26 (1). Date of Electronic Publication: 2026 May 11.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100968548 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2318 (Electronic) Linking ISSN: 14712318 NLM ISO Abbreviation: BMC Geriatr Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Deep learning-based automated segmentation and quantification of aortic arch calcification at chest radiograph.
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  Data: <searchLink fieldCode="AU" term="%22Yin+L%22">Yin L</searchLink>; Department of Cardiology, Joint Laboratory of Guangdong-Hong Kong-Macao Universities for Nutritional Metabolism and Precise Prevention and Control of Major Chronic Diseases, the Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.<br /><searchLink fieldCode="AU" term="%22Li+S%22">Li S</searchLink>; Department of Cardiology, Joint Laboratory of Guangdong-Hong Kong-Macao Universities for Nutritional Metabolism and Precise Prevention and Control of Major Chronic Diseases, the Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.<br /><searchLink fieldCode="AU" term="%22Zhang+L%22">Zhang L</searchLink>; Department of Cardiology, the Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.<br /><searchLink fieldCode="AU" term="%22Gao+Z%22">Gao Z</searchLink>; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.<br /><searchLink fieldCode="AU" term="%22Liu+Y%22">Liu Y</searchLink>; Department of Cardiology, Joint Laboratory of Guangdong-Hong Kong-Macao Universities for Nutritional Metabolism and Precise Prevention and Control of Major Chronic Diseases, the Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.<br /><searchLink fieldCode="AU" term="%22Wang+Q%22">Wang Q</searchLink>; Department of Radiology, the Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.<br /><searchLink fieldCode="AU" term="%22Zhang+H%22">Zhang H</searchLink>; Department of Cardiology, Joint Laboratory of Guangdong-Hong Kong-Macao Universities for Nutritional Metabolism and Precise Prevention and Control of Major Chronic Diseases, the Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China. huanji13688808979@163.com.<br /><searchLink fieldCode="AU" term="%22Zhang+T%22">Zhang T</searchLink>; Department of Cardiology, Joint Laboratory of Guangdong-Hong Kong-Macao Universities for Nutritional Metabolism and Precise Prevention and Control of Major Chronic Diseases, the Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China. zhangtt73@mail.sysu.edu.cn.<br /><searchLink fieldCode="AU" term="%22Chen+J%22">Chen J</searchLink>; Department of Radiotherapy, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China. 1450517759@qq.com.<br /><searchLink fieldCode="AU" term="%22Huang+H%22">Huang H</searchLink>; Department of Cardiology, Joint Laboratory of Guangdong-Hong Kong-Macao Universities for Nutritional Metabolism and Precise Prevention and Control of Major Chronic Diseases, the Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China. huangh8@mail.sysu.edu.cn.
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  Data: <searchLink fieldCode="JN" term="%22100968548%22">BMC geriatrics</searchLink> [BMC Geriatr] 2026 May 11; Vol. 26 (1). <i>Date of Electronic Publication: </i>2026 May 11.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>100968548 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1471-2318 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214712318%22">14712318 </searchLink><i>NLM ISO Abbreviation: </i>BMC Geriatr <i>Subsets: </i>MEDLINE
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        Value: 10.1186/s12877-026-07615-3
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      – TitleFull: Deep learning-based automated segmentation and quantification of aortic arch calcification at chest radiograph.
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            – D: 11
              M: 05
              Text: 2026 May 11
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