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An end-to-end tracking method for polyp detectors in colonoscopy videos.

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Title: An end-to-end tracking method for polyp detectors in colonoscopy videos.
Authors: Yu, Tao1, Lin, Ne1,2,3, Zhang, Xu1, Pan, Yanqi1, Hu, Huiyi1, Zheng, Wenfang2,3, Liu, Jiquan1, liujq@zju.edu.cn, Hu, Weiling1,2,3, huweiling@zju.edu.cn, Duan, Huilong1, Si, Jianmin2,3
Source: Artificial Intelligence in Medicine; Sep2022, Vol. 131, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 159028050
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: An end-to-end tracking method for polyp detectors in colonoscopy videos.
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  Data: <searchLink fieldCode="JN" term="%22Artificial+Intelligence+in+Medicine%22">Artificial Intelligence in Medicine</searchLink>; Sep2022, Vol. 131, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=159028050
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        Value: 10.1016/j.artmed.2022.102363
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        Text: English
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              Text: Sep2022
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              Y: 2022
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              Value: 131
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            – TitleFull: Artificial Intelligence in Medicine
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