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Enhanced Small Lesion Segmentation in Apple Leaves: A Multimodal Prior‐Guided Approach With PEMA‐UNet++.

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Title: Enhanced Small Lesion Segmentation in Apple Leaves: A Multimodal Prior‐Guided Approach With PEMA‐UNet++.
Authors: Jiang, Dongping1, Li, Honghan1, Zhao, Ji1, zhaoji_ustl@outlook.com
Source: Concurrency & Computation: Practice & Experience; Jul2026, Vol. 38 Issue 13, p1-15, 15p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 195289558
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Enhanced Small Lesion Segmentation in Apple Leaves: A Multimodal Prior‐Guided Approach With PEMA‐UNet++.
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  Data: <searchLink fieldCode="AU" term="%22Jiang%2C+Dongping%22">Jiang, Dongping</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Li%2C+Honghan%22">Li, Honghan</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhao%2C+Ji%22">Zhao, Ji</searchLink><relatesTo>1</relatesTo>, <i>zhaoji_ustl@outlook.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Concurrency+%26+Computation%3A+Practice+%26+Experience%22">Concurrency & Computation: Practice & Experience</searchLink>; Jul2026, Vol. 38 Issue 13, p1-15, 15p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=195289558
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1002/cpe.70841
    Languages:
      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 1
    Titles:
      – TitleFull: Enhanced Small Lesion Segmentation in Apple Leaves: A Multimodal Prior‐Guided Approach With PEMA‐UNet++.
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            NameFull: Jiang, Dongping
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            NameFull: Li, Honghan
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            NameFull: Zhao, Ji
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            – D: 01
              M: 07
              Text: Jul2026
              Type: published
              Y: 2026
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              Value: 38
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              Value: 13
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            – TitleFull: Concurrency & Computation: Practice & Experience
              Type: main
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