A Deep Learning Based Approach to Lung Cancer Identification

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dc.contributor.authorCengil, Emine
dc.contributor.authorCinar, Ahmet
dc.date.accessioned2026-08-12T16:41:47Z
dc.date.issued2018
dc.departmentFırat Üniversitesi
dc.descriptionInternational Conference on Artificial Intelligence and Data Processing (IDAP) -- SEP 28-30, 2018 -- Inonu Univ, Malatya, TURKEY
dc.description.abstractCancer is a very common disease type in worldwide. There are many types of cancer. Lung cancer is the most common type of cancer. Lung cancer which is common in both men and women can be fatal. The initiation of treatment by diagnosing cancer is important in reducing the risk of death. In this paper, classification of lung nodules is performs using CT images of SPIE-AAPM-LungX data. Deep learning has been a popular choice for the classification process in recent years. Especially it is used in the implementation of tensorFlow and 3D convolutional neural network architecture from deep learning libraries.
dc.description.sponsorshipInonu Univ, Comp Sci Dept,IEEE Turkey Sect,Anatolian Sci
dc.identifier.isbn978-1-5386-6878-8
dc.identifier.scopus2-s2.0-85062518884
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://hdl.handle.net/11508/45967
dc.identifier.wosWOS:000458717400004
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIeee
dc.relation.ispartof2018 International Conference on Artificial Intelligence and Data Processing (Idap)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260511
dc.subjectLung cancer
dc.subjectDeep learning
dc.subjectResNet
dc.subjectimage classification
dc.titleA Deep Learning Based Approach to Lung Cancer Identification
dc.typeConference Object

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