Convolutional Neural Networks in Dermatology: Skin Cancer Detection and Analysis 

Convolutional Neural Networks in Dermatology: Skin Cancer Detection and 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 Research Article Convolutional Neural Networks in Dermatology: Skin Cancer Detection and Analysis Manoj Ganthya This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4833522/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 Skin cancer, a highly prevalent form of cancer, necessitates early and accurate detection to improve patient outcomes. Traditional diagnostic methods, including visual examination and biopsies, are often subjective and invasive. This paper investigates the application of Convolutional Neural Networks (CNNs) in the automated detection and classification of skin cancer, offering a non-invasive and reliable alternative. We provide an in-depth overview of CNN architecture, covering key components such as convolutional layers, pooling layers, activation functions, and the backpropagation algorithm. Additionally, we address critical aspects of dataset preparation, including image preprocessing, augmentation techniques, and the use of large, annotated datasets to enhance model performance. Skin Cancer Detection Convolution Neural Network Neural Network Architecture Image Classification 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. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-4833522","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":337721918,"identity":"7b39817c-6edc-4a83-9ce3-51a21ce759db","order_by":0,"name":"Manoj Ganthya","email":"data:image/png;base64,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","orcid":"","institution":"University of Burdwan","correspondingAuthor":true,"prefix":"","firstName":"Manoj","middleName":"","lastName":"Ganthya","suffix":""}],"badges":[],"createdAt":"2024-07-31 08:09:56","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4833522/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4833522/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":64484199,"identity":"91d9c93e-5620-4746-bff9-2107d09e5503","added_by":"auto","created_at":"2024-09-13 17:08:04","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":821260,"visible":true,"origin":"","legend":"","description":"","filename":"ConvolutionalNeuralNetworksinDermatologySkinCancerDetectionandAnalysisbyManojGanthya.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4833522/v1_covered_87f33385-6640-487d-a3fc-c5d80884a2ee.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":" Convolutional Neural Networks in Dermatology: Skin Cancer Detection and Analysis ","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":"Skin Cancer Detection, Convolution Neural Network, Neural Network Architecture, Image Classification","lastPublishedDoi":"10.21203/rs.3.rs-4833522/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4833522/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eSkin cancer, a highly prevalent form of cancer, necessitates early and accurate detection to improve patient outcomes. 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