Bayesian segmentation of human facial tissue using 3D MR-CT information fusion, resolution enhancement and partial volume modelling

Şener, Emre; Mumcuoglu, ÜNAL; Hamcan, Salih

doi:10.1016/j.cmpb.2015.10.009

Bayesian segmentation of human facial tissue using 3D MR-CT information fusion, resolution enhancement and partial volume modelling

Şener E., Mumcuoglu E. U., Hamcan S.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, cilt.124, ss.31-44, 2016 (SCI-Expanded, Scopus)

Yayın Türü: Makale / Tam Makale
Cilt numarası: 124
Basım Tarihi: 2016
Doi Numarası: 10.1016/j.cmpb.2015.10.009
Dergi Adı: COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
Sayfa Sayıları: ss.31-44
Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

Background: Accurate segmentation of human head on medical images is an important process in a wide array of applications such as diagnosis, facial surgery planning, prosthesis design, and forensic identification.