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, Turkey, 25 - 27 October 2018 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/ceit.2018.8751853
  • City: İstanbul
  • Country: Turkey

Abstract

© 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.