Spleen Segmentation on CT Using Convolutional Neural Network

Tulum G., Osman O., DANDİN Ö., YILMAZ V. T., KISAOĞLU A., DEMİRYILMAZ İ., ...Daha Fazla

Medical Technologies Congress (TIPTEKNO), İzmir, Türkiye, 3 - 05 Ekim 2019, ss.259-262 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/tiptekno.2019.8895117
  • Basıldığı Şehir: İzmir
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.259-262
  • Anahtar Kelimeler: Computed tomography, spleen segmentation, convolutional neural network, MULTIORGAN SEGMENTATION, 4D GRAPHS, ATLAS, ENHANCEMENT
  • Akdeniz Üniversitesi Adresli: Evet

Özet

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.