3D automatic liver segmentation using feature-constrained Mahalanobis distance in CT images

S.D.S. Al-Shaikhli, Ying Yang, B. Rosenhahn

Research output: Contribution to journalArticleAcademicpeer-review

5 Citations (Scopus)
Original languageEnglish
Pages (from-to)401-412
JournalBiomedical engineering = Biomedizinische Technik
Volume61
Issue number4
Publication statusPublished - 2016

Keywords

  • METIS-319889

Cite this

@article{500262bd14b747cd968c893f0c652256,
title = "3D automatic liver segmentation using feature-constrained Mahalanobis distance in CT images",
keywords = "METIS-319889",
author = "S.D.S. Al-Shaikhli and Ying Yang and B. Rosenhahn",
year = "2016",
language = "English",
volume = "61",
pages = "401--412",
journal = "Biomedical engineering = Biomedizinische Technik",
issn = "0013-5585",
publisher = "Walter De Gruyter",
number = "4",

}

3D automatic liver segmentation using feature-constrained Mahalanobis distance in CT images. / Al-Shaikhli, S.D.S.; Yang, Ying; Rosenhahn, B.

In: Biomedical engineering = Biomedizinische Technik, Vol. 61, No. 4, 2016, p. 401-412.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - 3D automatic liver segmentation using feature-constrained Mahalanobis distance in CT images

AU - Al-Shaikhli, S.D.S.

AU - Yang, Ying

AU - Rosenhahn, B.

PY - 2016

Y1 - 2016

KW - METIS-319889

M3 - Article

VL - 61

SP - 401

EP - 412

JO - Biomedical engineering = Biomedizinische Technik

JF - Biomedical engineering = Biomedizinische Technik

SN - 0013-5585

IS - 4

ER -