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Improving real-time detection of laryngeal lesions in endoscopic images using a decoupled super-resolution enhanced YOLO.

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Title: Improving real-time detection of laryngeal lesions in endoscopic images using a decoupled super-resolution enhanced YOLO.
Authors: Baldini, Chiara1,2, chiara.baldini@iit.it, Migliorelli, Lucia1,3, Berardini, Daniele3, Azam, Muhammad Adeel1,2, Sampieri, Claudio4,5, Ioppi, Alessandro6, Srivastava, Rakesh7, Peretti, Giorgio8,9, Mattos, Leonardo S.1
Source: Computer Methods & Programs in Biomedicine; Mar2025, Vol. 260, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 182792641
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Improving real-time detection of laryngeal lesions in endoscopic images using a decoupled super-resolution enhanced YOLO.
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  Data: <searchLink fieldCode="JN" term="%22Computer+Methods+%26+Programs+in+Biomedicine%22">Computer Methods & Programs in Biomedicine</searchLink>; Mar2025, Vol. 260, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=182792641
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      – Type: doi
        Value: 10.1016/j.cmpb.2024.108539
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      – Code: eng
        Text: English
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      – TitleFull: Improving real-time detection of laryngeal lesions in endoscopic images using a decoupled super-resolution enhanced YOLO.
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              Text: Mar2025
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              Y: 2025
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