Computer-aided diagnosis system for detection of stomach cancer with image processing techniques

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dc.contributor.authorYasar, Ali.
dc.contributor.authorSaritas, Ismail.
dc.contributor.authorKorkmaz, Huseyin.
dc.date.accessioned2020-03-26T20:13:09Z
dc.date.available2020-03-26T20:13:09Z
dc.date.issued2019
dc.departmentSelçuk Üniversitesi, Teknoloji Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.description.abstractStomach cancer is a type of cancer that is hard to detect at an early stage because it gives almost no symptoms at the beginning. Stomach cancer is an increasing incidence of cancer both in the World as well as in Turkey. The most common method used worldwide for gastric cancer diagnosis is endoscopy. However, definitive diagnosis is made with endoscopic biopsy results. Diagnosis with endoscopy is a very specific and sensitive method. With high-resolution endoscopy it is possible to detect mild discolorations, bulges and structural changes of the surface of the mucosa. However, because the procedures are performed with the eye of a doctor, it is possible that the cancerous areas may be missed and / or incompletely detected. Because of the fact that the cancerous area cannot be completely detected may cause the problem of cancer recurrence after a certain period of surgical intervention. In order to overcome this problem, a computerized decision support system (CDS) has been implemented with the help of specialist physicians and image processing techniques. The performed CDS system works as an assistant to doctors of gastroenterology, helping to identify the cancerous area in the endoscopic images of the scaffold, to take biopsies from these areas and to make a better diagnosis. We believe that gastric cancer will be helpful in determining the area and biopsy samples taken from the patient will be useful in determining the area. It is therefore considered a useful model.en_US
dc.description.sponsorshipSelcuk University Scientific Research Projects Coordination Office (BAP) [15101020]en_US
dc.description.sponsorshipThis work was supported by the project number 15101020 by Selcuk University Scientific Research Projects Coordination Office (BAP).en_US
dc.identifier.citationYasar, A., Saritas, I., Korkmaz, H. (2019). Computer-Aided Diagnosis System for Detection of Stomach Cancer with Image Processing Techniques. Journal of Medical Systems, 43(4), 1-11.
dc.identifier.doi10.1007/s10916-019-1203-yen_US
dc.identifier.issn0148-5598en_US
dc.identifier.issn1573-689Xen_US
dc.identifier.issue4en_US
dc.identifier.pmid30874907en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://dx.doi.org/10.1007/s10916-019-1203-y
dc.identifier.urihttps://hdl.handle.net/20.500.12395/37633
dc.identifier.volume43en_US
dc.identifier.wosWOS:000461302800005en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.institutionauthorSaritas, Ismail.
dc.institutionauthorKorkmaz, Huseyin.
dc.language.isoenen_US
dc.publisherSPRINGERen_US
dc.relation.ispartofJOURNAL OF MEDICAL SYSTEMSen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectStomach canceren_US
dc.subjectRegion growingen_US
dc.subjectStatistical region mergingen_US
dc.subjectStatistical region merging with region growingen_US
dc.subjectSegmentationen_US
dc.subjectImage processingen_US
dc.subjectComputerized decision support(CDS) systemen_US
dc.titleComputer-aided diagnosis system for detection of stomach cancer with image processing techniquesen_US
dc.typeArticleen_US

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