A Computer-Based Brain Tumor Detection Approach with Advanced Image Processing and Probabilistic Neural Network Methods

Ural B.

JOURNAL OF MEDICAL AND BIOLOGICAL ENGINEERING, cilt.38, sa.6, ss.867-879, 2018 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 38 Sayı: 6
  • Basım Tarihi: 2018
  • Doi Numarası: 10.1007/s40846-017-0353-y
  • Dergi Adı: JOURNAL OF MEDICAL AND BIOLOGICAL ENGINEERING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.867-879
  • Anahtar Kelimeler: Magnetic resonance imaging (MRI), Image processing, Image classification, Probabilistic neural network, FEATURE-SELECTION, SEGMENTATION, MODEL
  • Gazi Üniversitesi Adresli: Evet

Özet

For years, automation in tumor detection area has been commonly required because there might be a shortage of skilled radiologists in this area. In this study, a computer based brain tumor detection approach in magnetic resonance imaging (MRI) is proposed. The purpose of this study is to detect and to localize the tumor areas in the brain with using advanced image processing techniques and probabilistic neural network (PNN) method. For this study, firstly, a special clustering technique is used on the MRI images. Secondly, with using thresholding and level-set segmentation, tumor areas are detected successfully. Thirdly, with using the obtained tumor areas, automatic brain tumor classification and analysis are achieved with using PNN method. In the experimental part of the study, 25 neuroimages are used to optimize our system and 25 out-of-sample neuroimages are also used to test the approach. The preliminary diagnostic results can demonstrate the high classification accuracy for the image processing and the neural network structures.