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

Date

2016-02-01

Author

Şener, Emre
Mumcuoğlu, Ünal Erkan
Hamcan, Salih

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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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.

Subject Keywords

Image segmentation, Information fusion, Partial volume, Resolution enhancement, Superresolution

URI

https://hdl.handle.net/11511/30461

Journal

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

DOI

https://doi.org/10.1016/j.cmpb.2015.10.009

Collections

Graduate School of Informatics, Article

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Citation Formats

E. Şener, Ü. E. Mumcuoğlu, and S. Hamcan, “Bayesian segmentation of human facial tissue using 3D MR-CT information fusion, resolution enhancement and partial volume modelling,” COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, pp. 31–44, 2016, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/30461.