Applications of Gabor filter -based features and Gabor filter apart from computed tomography texture analysis

Applications of Gabor filter -based features and Gabor filter apart from computed tomography texture analysis | 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 Article Applications of Gabor filter -based features and Gabor filter apart from computed tomography texture analysis Jenn Yeu Wang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7915666/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 Background : The aim of our study is to explore the performance of grey level co- occurrence texture features and Gabor texture features in the prediction of Fuhrman nuclear grades of clear cell renal cell carcinoma(cCRCC).Besides, applications of Gabor filter based features and Gabor filter were reviewed. Methods : One hundred and ten two- dimension images from 109 cCRCC patients were recruited from The Cancer Image Archives website . Then Images texture features regarding grey level co-occurrence texture features and Gabor texture features were extracted from the enhanced abdominal computed tomography images of clear cell renal cell carcinoma of The Cancer Image Archives websites.The performance of grey level co-occurrence texture features and Gabor texture features in the prediction of Fuhrman nuclear grades of clear cell were calculated by WEKA open source software. Result : Non-inferior performance of Gabor texture features was found while compared with the performance of grey level co-occurrence texture features in the prediction of Fuhrman nuclear grades of clear cell renal cell carcinoma. . Discussion : While implementation of image features in the prediction of Fuhrman nuclear grades of clear cell renal cell carcinoma, extraction of Gabor texture features from the image should be considered. Biological sciences/Cancer/Urological cancer/Renal cancer/Renal cell carcinoma Health sciences/Medical research/Outcomes research Full Text Additional Declarations There is NO Competing Interest. Table 1 and 2 are available in the Supplementary Files section. Supplementary Files Table1and2.docx Table 2 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-7915666","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":538253558,"identity":"546f972d-c614-457b-84a1-33ca1afe903a","order_by":0,"name":"Jenn Yeu 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