Analysis of Computed Tomography Images of Lung Cancer Patients with The Marker Controlled Based Method Akciğer Kanseri Hastalarının Bilgisayarlı Tomografi Görüntülerinin İşaretçi Kontrollü Havza Yöntemi ile Analizi

Erkoç M., İÇER S.

2022 Medical Technologies Congress, TIPTEKNO 2022, Antalya, Türkiye, 31 Ekim - 02 Kasım 2022 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/tiptekno56568.2022.9960233
  • Basıldığı Şehir: Antalya
  • Basıldığı Ülke: Türkiye
  • Anahtar Kelimeler: lung cancer, image processing, the computed tomography, marker-controlled watershed segmentation, jaccard index
  • Erciyes Üniversitesi Adresli: Evet

Özet

© 2022 IEEE.In this study, it was aimed to obtain the tumor region from computed tomography images after a number of pre-processes using the Marker-Controlled watershed segmentation. In accordance with this purpose, tumor segmentation was performed using four different data sets. Segmentation success was analyzed with the Jaccard index method in terms of similarity rates to the reference images. The index was calculated as average 0.8231 for the RIDER lung CT dataset, 0.8365 for the lung 1 dataset, 0.8578 for the lung 3 dataset and 0.8641 for the LIDC-IDRI dataset. Our current work on the practical and successful segmentation of lung tumor has been promising for next steps.