Publication detail

Combined bone lesion analysis in 3D CT data of vertebrae

JAN, J. NOVOSADOVÁ, M. DEMEL, J. OUŘEDNÍČEK, P. CHMELÍK, J. JAKUBÍČEK, R.

Original Title

Combined bone lesion analysis in 3D CT data of vertebrae

Czech Title

Kombinovaná analýza kostních lézí ve 3D CT datech obratlů

English Title

Combined bone lesion analysis in 3D CT data of vertebrae

Type

conference paper

Language

en

Original Abstract

Two novel statistically based methods for bone lesion detection and classification are presented. Together with the previously published MRF method [15], they form a triad of mutually complementary methods that promise, when fused, to enable higher reliability of bone lesion assessment.

Czech abstract

Jsou předkládány dvě nové statisticky založené metody detekce kostních lézí a jejich klasifikace. Spolu s dříve publikovano MRF metodou tvoří trojici vzájemně se doplňujících metod jež slibují dosažení vyšší spolehlivosti určování kostních lézí, pokud budou výsledky sdruženy (sfúzovány).

English abstract

Two novel statistically based methods for bone lesion detection and classification are presented. Together with the previously published MRF method [15], they form a triad of mutually complementary methods that promise, when fused, to enable higher reliability of bone lesion assessment.

Keywords

3D CT data, image analysis, image segmentation

RIV year

2015

Released

24.08.2015

Publisher

IEEE

Location

Milano (Itálie)

ISBN

978-1-4244-9270-1

Book

IEEE EMBC 2015 Proceedings Milano (It)

Edition

IEEE

Edition number

1

Pages from

6374

Pages to

6377

Pages count

4

BibTex


@inproceedings{BUT115898,
  author="Jiří {Jan} and Michaela {Novosadová} and Jan {Demel} and Petr {Ouředníček} and Jiří {Chmelík} and Roman {Jakubíček}",
  title="Combined bone lesion analysis in 3D CT data of vertebrae",
  annote="Two novel statistically based methods for bone lesion detection and classification are presented. Together with the previously published MRF method [15], they form a triad of mutually complementary methods that promise, when fused, to enable higher reliability of bone lesion assessment.",
  address="IEEE",
  booktitle="IEEE EMBC 2015 Proceedings Milano (It)",
  chapter="115898",
  edition="IEEE",
  howpublished="online",
  institution="IEEE",
  number="1",
  year="2015",
  month="august",
  pages="6374--6377",
  publisher="IEEE",
  type="conference paper"
}