Quantitative color analysis for capillaroscopy image segmentation-Reference-Cited by-同舟云学术

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Quantitative color analysis for capillaroscopy image segmentation

Published:2012-04-25 Issue:6 Volume:50 Page:567-574
ISSN:0140-0118
Container-title:Medical & Biological Engineering & Computing
language:en
Short-container-title:Med Biol Eng Comput

Author:

Goffredo Michela,Schmid Maurizio,Conforto Silvia,Amorosi Beatrice,D’Alessio Tommaso,Palma Claudio

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Biomedical Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11517-012-0907-7.pdf

Reference38 articles.

1. Alonso F, Algorri M, FIores-Mangas F (2004) Composite index for the quantitative evaluation of image segmentation results. In: Engineering in Medicine and Biology Society, 2004. IEMBS ‘04. 26th Annual International Conference of the IEEE, San Francisco, pp 1794–1797

2. Bezemer R, Dobbe JG, Bartels SA, Christiaan Boerma E, Elbers PW, Heger M, Ince C (2011) Rapid automatic assessment of microvascular density in sidestream dark field images. Med Biol Eng Comput 49(11):1269–1278

3. Bollinger A, Flagrell B (1990) Clinical capillaroscopy—a guide to its use in clinical research and practice. Hogrefe Huber, Toronto and Lewiston

4. Cardenes R, De Luis-Garcia R, Bach-Cuadram M (2009) A multidimensional segmentation evaluation for medical image data. Comput Methods Programs Biomed 96(2):108–124

5. Chia-Hsien W, Tsu-Yi H, Wei-Duen L, Joung-Liang L, Der-Yuan C, Kuan-Ching L (2008) A novel method for classification of high-resolution nailfold capillary microscopy images. In: First IEEE International Conference on Ubi-Media Computing, pp 513–518

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