CrossTransFuse:A Method for Colorectal Polyp Segmentation Incorporating Multi-Scale Cross-Attention and GiFusion Mechanisms.

CrossTransFuse:A Method for Colorectal Polyp Segmentation Incorporating Multi-Scale Cross-Attention and GiFusion Mechanisms. | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article CrossTransFuse:A Method for Colorectal Polyp Segmentation Incorporating Multi-Scale Cross-Attention and GiFusion Mechanisms. Tao Xue, Wenwen Liu, Wen Lv, Long Xi This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4787411/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Due to the varying sizes and shapes of colorectal polyps, along with their blurred textures and boundaries, segmenting the polyp boundary regions is challenging, thereby increasing the risk of misdiagnosis or missed diagnosis. This paper proposes a polyp segmentation method called CrossTransFuse, which effectively captures the subtle differences and complex features of polyps by designing a multi-scale interaction strategy. Additionally, the proposed GiFusion module integrates the interactive features of the Mask R-CNN and Transformer branches and connects them through residual blocks. The resulting interactive features can effectively capture both global and local contexts at the current spatial resolution,achieving finer polyp boundary segmentation and target localization. We test our model on five widely used polyp segmentation datasets, and the results show that, compared with advanced polyp segmentation networks, CrossTransFuse achieves more precise segmentation of polyp boundary regions on the datasets. Polyp Segmentation Mask R-CNN Transformer GiFusion Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4787411","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":341827893,"identity":"16852c47-34d9-4645-b35a-02e80468da44","order_by":0,"name":"Tao Xue","email":"","orcid":"","institution":"Xi'an Polytechnic University","correspondingAuthor":false,"prefix":"","firstName":"Tao","middleName":"","lastName":"Xue","suffix":""},{"id":341827894,"identity":"e4b41b47-abe7-4f6d-978a-678895562d8a","order_by":1,"name":"Wenwen Liu","email":"","orcid":"","institution":"Xi'an Polytechnic University","correspondingAuthor":false,"prefix":"","firstName":"Wenwen","middleName":"","lastName":"Liu","suffix":""},{"id":341827896,"identity":"72a9b6aa-b933-4681-993c-47429eddb2e3","order_by":2,"name":"Wen Lv","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAy0lEQVRIiWNgGAWjYBACPjD5w0aOjb35wIEPP4jQwgYiGHvSjPl5jiUenNlDrBYGtsOJM2fkGB/mYCNGi0SO4eMCnsPGBmfOfDjMwMMgzy92gKAWY+MZFulyBsd7NxwusGAwnDk7gYAWnrPbpHl4rIG2nN1weAYPQ4LBbcJatv/mYWNO3HAj58FhHjZitLD3bmPmYXMGeZ+BWC39n6V5IYFsAAxkCcJ+4WdmS/zMA4nKxx8+/LCR55cmoAUdSJCmfBSMglEwCkYBdgAANsJDJuJJcR8AAAAASUVORK5CYII=","orcid":"","institution":"Xi'an Polytechnic University","correspondingAuthor":true,"prefix":"","firstName":"Wen","middleName":"","lastName":"Lv","suffix":""},{"id":341827899,"identity":"16260dd7-dab1-424d-ae7f-f1043874ae63","order_by":3,"name":"Long Xi","email":"","orcid":"","institution":"Xi'an Polytechnic University","correspondingAuthor":false,"prefix":"","firstName":"Long","middleName":"","lastName":"Xi","suffix":""}],"badges":[],"createdAt":"2024-07-23 09:26:57","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4787411/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4787411/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":64104766,"identity":"969bc0ae-d195-4acb-81b8-cf204708ebea","added_by":"auto","created_at":"2024-09-07 01:20:05","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1654400,"visible":true,"origin":"","legend":"","description":"","filename":"CrossTransFuse.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4787411/v1_covered_d490ab93-05e2-4101-8a40-6b31c11a6266.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"CrossTransFuse:A Method for Colorectal Polyp Segmentation Incorporating Multi-Scale Cross-Attention and GiFusion Mechanisms.","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Polyp Segmentation, Mask R-CNN, Transformer, GiFusion","lastPublishedDoi":"10.21203/rs.3.rs-4787411/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4787411/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"Due to the varying sizes and shapes of colorectal polyps, along with their blurred textures and boundaries, segmenting the polyp boundary regions is challenging, thereby increasing the risk of misdiagnosis or missed diagnosis. 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