Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/228
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dc.contributor.authorBarstuğan, Mücahid-
dc.contributor.authorCeylan, Rahime-
dc.contributor.authorAsoğlu, Semih-
dc.contributor.authorCebeci, Hakan-
dc.contributor.authorKoplay, Mustafa-
dc.date.accessioned2021-12-13T10:23:53Z-
dc.date.available2021-12-13T10:23:53Z-
dc.date.issued2018-
dc.identifier.isbn978-1-5386-6878-8-
dc.identifier.urihttps://hdl.handle.net/20.500.13091/228-
dc.descriptionInternational Conference on Artificial Intelligence and Data Processing (IDAP) -- SEP 28-30, 2018 -- Inonu Univ, Malatya, TURKEYen_US
dc.description.abstractLiver segmentation process is a challenging field in computer-aided medical image analysis. This study implemented liver segmentation on Abdominal MR images. The liver was automatically segmented from images by morphological methods with high performance. Liver segmentation process was implemented on 56 MR images and the segmentation results were examined. In this study, an effective and fast method was proposed. Seven evaluation metrics (sensitivity, specificity, accuracy, precision, Dice coefficient, Jaccard rate, Structural Similarity Index (SSIM)) were used to test the performance of the proposed method. Mean Dice coefficient value was obtained as 91.701%, mean Jaccard rate value was obtained as 85.052% on 56 images. Segmentation duration for an image (T1 and T2 phases) was found as 2.828 seconds with the proposed method.en_US
dc.description.sponsorshipInonu Univ, Comp Sci Dept, IEEE Turkey Sect, Anatolian Scien_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2018 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND DATA PROCESSING (IDAP)en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectEvaluation metricsen_US
dc.subjectliver segmentationen_US
dc.subjectmorphological methodsen_US
dc.subjectMR imagesen_US
dc.titleFull-Automatic Liver Segmentation on Abdominal MR Imagesen_US
dc.typeConference Objecten_US
dc.identifier.scopus2-s2.0-85062555659en_US
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.identifier.wosWOS:000458717400077en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
item.openairetypeConference Object-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.grantfulltextembargo_20300101-
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.dept02.04. Department of Electrical and Electronics Engineering-
Appears in Collections:Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections
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