dc.contributor.author | Tulum, Gokalp | |
dc.contributor.author | Aydinli, Bulent | |
dc.contributor.author | Osman, Onur | |
dc.contributor.author | Yilmaz, Vural Taner | |
dc.contributor.author | Ergin, Tuncer | |
dc.contributor.author | Cuce, Ferhat | |
dc.contributor.author | Dandin, Ozgur | |
dc.contributor.author | Kisaoglu, Abdullah | |
dc.contributor.author | Demiryilmaz, Ismail | |
dc.contributor.author | Yaprak, Muhittin | |
dc.date.accessioned | 2023-02-08T11:57:06Z | |
dc.date.available | 2023-02-08T11:57:06Z | |
dc.date.issued | 2019 | en_US |
dc.identifier.citation | Tulum, G., Osman, O., Yilmaz, V. T., Ergin, T., Cüce, F., Dandin, Ö., ... & Aydinli, B. (2019, October). Spleen Segmentation on CT Using Convolutional Neural Network. In 2019 Medical Technologies Congress (TIPTEKNO) (pp. 1-4). IEEE. | en_US |
dc.identifier.isbn | 9781728124209 | |
dc.identifier.uri | https.//doi.org/10.1109/TIPTEKNO.2019.8895117 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12294/3261 | |
dc.description.abstract | The automated segmentation systems have been evolving from experimental to clinical applications in radiology. By taking advantage of these, radiologists can increase diagnostic accuracy in their interpretations. In this work we proposed a convolutional neural network based spleen segmentation system. Automatically segmented spleen had an 76.7% sensitivity, 99.8% specificity, 94.7% positive prediction value, 99.9% negative prediction value and 99.8% accuracy. © 2019 IEEE. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
dc.relation.ispartof | TIPTEKNO 2019 - Tip Teknolojileri Kongresi | en_US |
dc.identifier.doi | 10.1109/TIPTEKNO.2019.8895117 | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Computed Tomography | en_US |
dc.subject | Convolutional Neural Network | en_US |
dc.subject | Spleen Segmentation | en_US |
dc.title | Spleen segmentation on CT using convolutional neural network | en_US |
dc.title.alternative | Bilgisayarli tomografi görüntülerinde konvolüsyonel sinir aǧlari ile dalak siniflandirilmasi | en_US |
dc.type | conferenceObject | en_US |
dc.department | Mühendislik ve Mimarlık Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü | en_US |
dc.authorid | 0000-0001-7675-7999 View this author’s ORCID profile | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.institutionauthor | Tulum, Gokalp | |
dc.institutionauthor | Osman, Onur | |
dc.authorscopusid | 55842020700 | en_US |
dc.authorscopusid | 10040156600 | en_US |
dc.identifier.scopus | 2-s2.0-85075618941 | en_US |