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

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Bibliographic Details
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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Description
ISSN:1176-9351
DOI:10.1177/11769351261459985