Rule-based fuzzy classifier for spinal deformities

Birtane S., KORKMAZ H.

BIO-MEDICAL MATERIALS AND ENGINEERING, cilt.24, sa.6, ss.3311-3319, 2014 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 24 Sayı: 6
  • Basım Tarihi: 2014
  • Doi Numarası: 10.3233/bme-141154
  • Dergi Adı: BIO-MEDICAL MATERIALS AND ENGINEERING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.3311-3319
  • Marmara Üniversitesi Adresli: Evet

Özet

In this paper, 2-steps software using image processing and enhancement technologies is developed to obtain a scoliosis patient's spine pattern from 2D coronal X-Ray images without manual land marking. Then, a Rule-based Fuzzy classifier is implemented on those images to classify the spine patterns using the King-Moe classification approach.