Enhanced enchondroma detection from x-ray images using deep learning: A step towards accurate and cost-effective diagnosis

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dc.contributor.authorAydin, Simsek, S.
dc.contributor.authorAydin, A.
dc.contributor.authorSay, F.
dc.contributor.authorCengiz, T.
dc.contributor.authorÖzcan, C.
dc.contributor.authorÖztürk, M.
dc.contributor.authorOkay, E.
dc.date.accessioned2024-09-29T16:21:21Z
dc.date.available2024-09-29T16:21:21Z
dc.date.issued2024
dc.departmentKarabük Üniversitesien_US
dc.description.abstractThis study investigates the automated detection of enchondromas, benign cartilage tumors, from x-ray images using deep learning techniques. Enchondromas pose diagnostic challenges due to their potential for malignant transformation and overlapping radiographic features with other conditions. Leveraging a data set comprising 1645 x-ray images from 1173 patients, a deep-learning model implemented with Detectron2 achieved an accuracy of 0.9899 in detecting enchondromas. The study employed rigorous validation processes and compared its findings with the existing literature, highlighting the superior performance of the deep learning approach. Results indicate the potential of machine learning in improving diagnostic accuracy and reducing healthcare costs associated with advanced imaging modalities. The study underscores the significance of early and accurate detection of enchondromas for effective patient management and suggests avenues for further research in musculoskeletal tumor detection. © 2024 The Author(s). Journal of Orthopaedic Research® published by Wiley Periodicals LLC on behalf of Orthopaedic Research Society.en_US
dc.identifier.doi10.1002/jor.25938
dc.identifier.issn0736-0266
dc.identifier.scopus2-s2.0-85198662480en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org/10.1002/jor.25938
dc.identifier.urihttps://hdl.handle.net/20.500.14619/9690
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherJohn Wiley and Sons Incen_US
dc.relation.ispartofJournal of Orthopaedic Researchen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectdeep learningen_US
dc.subjectDetectron2en_US
dc.subjectenchondromasen_US
dc.subjectmachine learningen_US
dc.subjectx-rayen_US
dc.titleEnhanced enchondroma detection from x-ray images using deep learning: A step towards accurate and cost-effective diagnosisen_US
dc.typeArticleen_US

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