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Multi-Scale Cross-Attention Multiple Instance Learning Network for Automated Classification of Colorectal Polyps.

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Title: Multi-Scale Cross-Attention Multiple Instance Learning Network for Automated Classification of Colorectal Polyps.
Authors: Ikezogwo W; Department of Computer Science and Engineering, University of Washington, Seattle, WA, USA., Liu Y; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA., Hosny K; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA., Henriksen J; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA., Ricciotti R; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA., Rawlani M; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA., Swanson P; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA., Mathias PC; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA., Hoffman NG; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA., Baird G; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA., Gonzalez-Cuyar LF; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA., Shapiro L; Department of Computer Science and Engineering, University of Washington, Seattle, WA, USA., Reddi D; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA.
Source: Cancer informatics [Cancer Inform] 2026 Jun 06; Vol. 25, pp. 11769351261459985. Date of Electronic Publication: 2026 Jun 06 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: SAGE Publications Country of Publication: United States NLM ID: 101258149 Publication Model: eCollection Cited Medium: Print ISSN: 1176-9351 (Print) Linking ISSN: 11769351 NLM ISO Abbreviation: Cancer Inform Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Multi-Scale Cross-Attention Multiple Instance Learning Network for Automated Classification of Colorectal Polyps.
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  Data: <searchLink fieldCode="AU" term="%22Ikezogwo+W%22">Ikezogwo W</searchLink>; Department of Computer Science and Engineering, University of Washington, Seattle, WA, USA.<br /><searchLink fieldCode="AU" term="%22Liu+Y%22">Liu Y</searchLink>; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA.<br /><searchLink fieldCode="AU" term="%22Hosny+K%22">Hosny K</searchLink>; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA.<br /><searchLink fieldCode="AU" term="%22Henriksen+J%22">Henriksen J</searchLink>; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA.<br /><searchLink fieldCode="AU" term="%22Ricciotti+R%22">Ricciotti R</searchLink>; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA.<br /><searchLink fieldCode="AU" term="%22Rawlani+M%22">Rawlani M</searchLink>; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA.<br /><searchLink fieldCode="AU" term="%22Swanson+P%22">Swanson P</searchLink>; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA.<br /><searchLink fieldCode="AU" term="%22Mathias+PC%22">Mathias PC</searchLink>; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA.<br /><searchLink fieldCode="AU" term="%22Hoffman+NG%22">Hoffman NG</searchLink>; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA.<br /><searchLink fieldCode="AU" term="%22Baird+G%22">Baird G</searchLink>; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA.<br /><searchLink fieldCode="AU" term="%22Gonzalez-Cuyar+LF%22">Gonzalez-Cuyar LF</searchLink>; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA.<br /><searchLink fieldCode="AU" term="%22Shapiro+L%22">Shapiro L</searchLink>; Department of Computer Science and Engineering, University of Washington, Seattle, WA, USA.<br /><searchLink fieldCode="AU" term="%22Reddi+D%22">Reddi D</searchLink>; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA.
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  Data: <searchLink fieldCode="JN" term="%22101258149%22">Cancer informatics</searchLink> [Cancer Inform] 2026 Jun 06; Vol. 25, pp. 11769351261459985. <i>Date of Electronic Publication: </i>2026 Jun 06 (<i>Print Publication: </i>2026).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22SAGE+Publications%22">SAGE Publications </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101258149 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>1176-9351 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2211769351%22">11769351 </searchLink><i>NLM ISO Abbreviation: </i>Cancer Inform <i>Subsets: </i>PubMed not MEDLINE
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