Automatic segmentation and applied analysis of liver on computed tomography scans BT görüntüleri üzerinde karaciǧerin otomatik bölütlenmesi ve uygulamali analizi

DANDIL E., Erdinc Y., SELVİ A. O.

26th IEEE Signal Processing and Communications Applications Conference, SIU 2018, İzmir, Türkiye, 2 - 05 Mayıs 2018, ss.1-4 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/siu.2018.8404751
  • Basıldığı Şehir: İzmir
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.1-4
  • Anahtar Kelimeler: Computer-aided detection, FCM, Liver, Region growing, Segmentation
  • Bilecik Şeyh Edebali Üniversitesi Adresli: Evet

Özet

© 2018 IEEE.Computer-aided Detection (CAD) systems have become widespread along with the development of medical imaging techniques. One of the most important phases of CAD systems is the segmentation. In this study, liver segmentation is performed using Computed Tomography (CT) images. Region growing and Fuzzy C-Means (FCM) algorithms are preferred for segmentation and performance of these algorithms are evaluated. In performance evaluation, 'Expert Opinion Similarity Ratio' and 'Segmentation Time' are used as criteria. In experimental results, region growing algorithm is more successful than FCM.