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

Sener, Emre; Mumcuoglu, Erkan U.; Hamcan, Salih

doi:10.1016/j.cmpb.2015.10.009

Published January 1, 2016 | Version v1

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

1. Middle E Tech Univ, Dept Engn Sci, TR-06531 Ankara, Turkey
2. Middle E Tech Univ, Hlth Informat Dept, TR-06531 Ankara, Turkey
3. Gulhane Mil Med Acad, Dept Radiol, Ankara, Turkey

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.

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March 16, 2021

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COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 124, 31-44, 2016.

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

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

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