Full-Automatic Liver Segmentation on Abdominal MR Images
| dc.contributor.author | Barstugan, Mucahid | |
| dc.contributor.author | Ceylan, Rahime | |
| dc.contributor.author | Asoglu, Semih | |
| dc.contributor.author | Cebeci, Hakan | |
| dc.contributor.author | Koplay, Mustafa | |
| dc.date.accessioned | 2020-03-26T19:54:02Z | |
| dc.date.available | 2020-03-26T19:54:02Z | |
| dc.date.issued | 2018 | |
| dc.department | Selçuk Üniversitesi | en_US |
| dc.description | International Conference on Artificial Intelligence and Data Processing (IDAP) -- SEP 28-30, 2018 -- Inonu Univ, Malatya, TURKEY | en_US |
| dc.description.abstract | Liver 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.sponsorship | Inonu Univ, Comp Sci Dept, IEEE Turkey Sect, Anatolian Sci | en_US |
| dc.identifier.isbn | 978-1-5386-6878-8 | |
| dc.identifier.scopusquality | N/A | en_US |
| dc.identifier.uri | https://hdl.handle.net/20.500.12395/36647 | |
| dc.identifier.wos | WOS:000458717400077 | en_US |
| dc.identifier.wosquality | N/A | en_US |
| dc.indekslendigikaynak | Web of Science | en_US |
| dc.indekslendigikaynak | Scopus | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | IEEE | en_US |
| dc.relation.ispartof | 2018 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND DATA PROCESSING (IDAP) | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.selcuk | 20240510_oaig | en_US |
| dc.subject | Evaluation metrics | en_US |
| dc.subject | liver segmentation | en_US |
| dc.subject | morphological methods | en_US |
| dc.subject | MR images | en_US |
| dc.title | Full-Automatic Liver Segmentation on Abdominal MR Images | en_US |
| dc.type | Conference Object | en_US |
