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, vol.124, pp.31-44, 2016 (SCI-Expanded, Scopus)

Publication Type: Article / Article
Volume: 124
Publication Date: 2016
Doi Number: 10.1016/j.cmpb.2015.10.009
Journal Name: COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
Page Numbers: pp.31-44
Middle East Technical University Affiliated: Yes

Abstract

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.