AI-Based Model Design for Prediction of COPD Grade from Chest X-Ray Images: A Model Proposal (COPD-GradeNet)

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dc.contributor.authorAbut, Serdar
dc.date.accessioned2024-12-24T19:16:37Z
dc.date.available2024-12-24T19:16:37Z
dc.date.issued2024
dc.departmentSiirt Üniversitesi
dc.description.abstractChronic Obstructive Pulmonary Disease (COPD) ranks high among the leading causes of death, particularly in middle- and low-income countries. Early diagnosis of COPD is challenging, with limited diagnostic methods currently available. In this study, a artificial intelligence model named COPD-GradeNet is proposed to predict COPD grades from radiographic images. However, the model has not yet been tested on a dataset. Obtaining a dataset including spirometric test results and chest X-ray images for COPD is a challenging process. Once the proposed model is tested on an appropriate dataset, its ability to predict COPD grades can be evaluated and implemented. This study may guide future research and clinical applications, emphasizing the potential of artificial intelligence-based approaches in the diagnosis of COPD.
dc.identifier.doi10.21605/cukurovaumfd.1514012
dc.identifier.endpage338
dc.identifier.issn2757-9255
dc.identifier.issue2
dc.identifier.startpage325
dc.identifier.trdizinid1250088
dc.identifier.urihttps://doi.org/10.21605/cukurovaumfd.1514012
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1250088
dc.identifier.urihttps://hdl.handle.net/20.500.12604/4506
dc.identifier.volume39
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofÇukurova Üniversitesi Mühendislik Fakültesi dergisi
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241222
dc.subjectDeep learning
dc.subjectCOPD
dc.subjectArtificial intelligence
dc.subjectTransfer learning
dc.subjectMedical image processing
dc.titleAI-Based Model Design for Prediction of COPD Grade from Chest X-Ray Images: A Model Proposal (COPD-GradeNet)
dc.typeArticle

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