Nodule detection in a lung region that's segmented with using genetic cellular neural networks and 3D template matching with fuzzy rule based thresholding

Ozekes S., Osman O., Ucan O. N.

KOREAN JOURNAL OF RADIOLOGY, cilt.9, sa.1, ss.1-9, 2008 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 9 Sayı: 1
  • Basım Tarihi: 2008
  • Doi Numarası: 10.3348/kjr.2008.9.1.1
  • Dergi Adı: KOREAN JOURNAL OF RADIOLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1-9
  • Anahtar Kelimeler: computer aided lung nodule detection, ROI specification, genetic algorithm, cellular neural networks Fuzzy logic, 3D template matching, COMPUTER-AIDED DIAGNOSIS, AUTOMATED DETECTION, PULMONARY NODULES, CT IMAGES, CHEST, TOMOGRAPHY, CAD
  • Marmara Üniversitesi Adresli: Hayır

Özet

Objective: The purpose of this study was to develop a new method for automated lung nodule detection in serial section CT images with using the characteristics of the 3D appearance of the nodules that distinguish themselves from the vessels.