ILTDS: Intelligent lung tumor detection system on CT images

Dimililer K., Ever Y., Ugur B.

International Symposium on Intelligent Systems Technologies and Applications, ISTA 2016, Jaipur, Hindistan, 21 - 24 Eylül 2016, cilt.530, ss.225-235, (Tam Metin Bildiri) identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 530
  • Doi Numarası: 10.1007/978-3-319-47952-1_17
  • Basıldığı Şehir: Jaipur
  • Basıldığı Ülke: Hindistan
  • Sayfa Sayıları: ss.225-235
  • Anahtar Kelimeler: Artificial neural networks, CT lung cancer images, Digital image processing, Feature extraction, Intelligent systems, Thresholding
  • Orta Doğu Teknik Üniversitesi Kuzey Kıbrıs Kampüsü Adresli: Hayır

Özet

Cancer detection and research on early detection solutions play life sustaining role for human health. Computed Tomography images are widely used in radiotherapy planning. Computed Tomography images provide electronic densities of tissues of interest, which are mandatory. For certain target delineation, the good spatial resolution and soft/hard tissues contrast are needed. Also, Computed Tomography techniques are preferred compared to X-Ray and magnetic resonance imaging images. Image processing techniques have started to become popular in use of Computed Tomography images. Artificial neural networks propose a quite different approach to problem solving and known as the sixth generation of computing. In this study, two phases are proposed. For first phase, image pre-processing, image erosion, median filtering, thresholding and feature extraction of image processing techniques are applied on Computed Tomography images in detail. In second phase, an intelligent image processing system using back propagation neural networks is applied to detect lung tumors.