Automatic liver segmentation in abdomen CT images using SLIC and adaboost algorithms
| dc.contributor.author | Barstugan M. | |
| dc.contributor.author | Ceylan R. | |
| dc.contributor.author | Sivri M. | |
| dc.contributor.author | Erdogan H. | |
| dc.date.accessioned | 2020-03-26T20:11:44Z | |
| dc.date.available | 2020-03-26T20:11:44Z | |
| dc.date.issued | 2018 | |
| dc.department | Selçuk Üniversitesi | en_US |
| dc.description | RIED, Tokai University | en_US |
| dc.description | 8th International Conference on Bioscience, Biochemistry and Bioinformatics, ICBBB 2018 -- 18 January 2018 through 20 January 2018 -- 135712 | en_US |
| dc.description.abstract | This study is an implementation of liver segmentation on abdomen CT images. The liver organ was segmented by using SLIC super-pixel and AdaBoost algorithms. Firstly, the images were clustered by SLIC super-pixel algorithm. Then, the liver was segmented by AdaBoost classifier. The segmentation process was done automatically. The automatic segmentation is based on the classification of overlapping patches of the image. The results of automatic segmentation and manual segmentation were compared and the efficiency of the method was observed. The best Dice rate was obtained as 92.13% and the best Jaccard rate was obtained as 85.8% on 16 abdomen CT images. © 2018 Association for Computing Machinery. | en_US |
| dc.description.sponsorship | 5. ACKNOWLEDGMENT This work was supported by the Coordinatorship of Selcuk University’s Scientific Research Project. | en_US |
| dc.identifier.doi | 10.1145/3180382.3180383 | en_US |
| dc.identifier.endpage | 133 | en_US |
| dc.identifier.isbn | 9.78145E+12 | |
| dc.identifier.scopusquality | N/A | en_US |
| dc.identifier.startpage | 129 | en_US |
| dc.identifier.uri | https://dx.doi.org/10.1145/3180382.3180383 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12395/37176 | |
| dc.indekslendigikaynak | Scopus | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Association for Computing Machinery | en_US |
| dc.relation.ispartof | ACM International Conference Proceeding Series | 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 | Automatic segmentation | en_US |
| dc.subject | Classification | en_US |
| dc.subject | Liver | en_US |
| dc.subject | SLIC super-pixel | en_US |
| dc.title | Automatic liver segmentation in abdomen CT images using SLIC and adaboost algorithms | en_US |
| dc.type | Conference Object | en_US |
