Computer aided brain tumor detection via rule based eliminated watershed segmentation


GÖRGEL P., Dincer N.

6th International Conference on Control Engineering and Information Technology, CEIT 2018, İstanbul, Türkiye, 25 - 27 Ekim 2018 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1109/ceit.2018.8751853
  • Basıldığı Şehir: İstanbul
  • Basıldığı Ülke: Türkiye

Özet

© 2018 IEEE.Brain cancer is one of the most fateful diseases today. Early diagnosis is of great importance in the treatment of this disease. To accomplish a fast and accurate diagnosis, numerous studies have been performed around the world. In this study, a computer aided tumor detection task is proposed for brain MR images. To prevent over-segmentation a set of methods such as bilateral, gauss, order statistics filters, morphological and sharpening operations are applied for denoising, emphasizing fine details and enhancement steps prior to watershed segmentation. Finally, a rule based elimination is proposed to reduce the false positive detections and increase the performance. Experimental results demonstrate that the proposed method is satisfying to detect brain tumors.