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Towards unified molecule-enhanced pathology image representation learning via integrating spatial transcriptomics.

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Title: Towards unified molecule-enhanced pathology image representation learning via integrating spatial transcriptomics.
Authors: Han, Minghao1,2, mhhan22@m.fudan.edu.cn, Yang, Dingkang1,2, dkyang20@fudan.edu.cn, Cheng, Jiabei3, Zhang, Xukun1,2, Chen, Zizhi1,2, Kuang, Haopeng4, Zhang, Lihua1,2,5,6, lihuazhang@fudan.edu.cn
Source: Pattern Recognition; Apr2026:Part B, Vol. 172, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 189885442
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Towards unified molecule-enhanced pathology image representation learning via integrating spatial transcriptomics.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=189885442
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.patcog.2025.112458
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      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
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      – TitleFull: Towards unified molecule-enhanced pathology image representation learning via integrating spatial transcriptomics.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Han, Minghao
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            NameFull: Yang, Dingkang
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            NameFull: Cheng, Jiabei
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            NameFull: Zhang, Xukun
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            NameFull: Chen, Zizhi
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            NameFull: Kuang, Haopeng
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            NameFull: Zhang, Lihua
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          Dates:
            – D: 05
              M: 04
              Text: Apr2026:Part B
              Type: published
              Y: 2026
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            – TitleFull: Pattern Recognition
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