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Hierarchical multimodal fusion framework based on noisy label learning and attention mechanism for cancer classification with pathology and genomic features.

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Bibliographic Details
Title: Hierarchical multimodal fusion framework based on noisy label learning and attention mechanism for cancer classification with pathology and genomic features.
Authors: Qiu, Lu1, Zhao, Lu1, Hou, Runping1, Zhao, Wangyuan1, Zhang, Shunan1, Lin, Zefan1, Teng, Haohua2, Zhao, Jun1, junzhao@sjtu.edu.cn
Source: Computerized Medical Imaging & Graphics; Mar2023, Vol. 104, 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: 161628353
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Hierarchical multimodal fusion framework based on noisy label learning and attention mechanism for cancer classification with pathology and genomic features.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=161628353
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.compmedimag.2022.102176
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      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
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      – TitleFull: Hierarchical multimodal fusion framework based on noisy label learning and attention mechanism for cancer classification with pathology and genomic features.
        Type: main
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            NameFull: Qiu, Lu
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            NameFull: Zhao, Lu
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            NameFull: Hou, Runping
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            NameFull: Zhao, Wangyuan
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            NameFull: Zhang, Shunan
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            NameFull: Lin, Zefan
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            NameFull: Teng, Haohua
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            NameFull: Zhao, Jun
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          Dates:
            – D: 01
              M: 03
              Text: Mar2023
              Type: published
              Y: 2023
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              Value: 104
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            – TitleFull: Computerized Medical Imaging & Graphics
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