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, Serhat; Osman, Onur; Ucan, Osman

doi:10.3348/kjr.2008.9.1.1

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, Scopus)

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
İstanbul Üniversitesi Adresli: Evet

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.