Analysis of manual segmentation in paranasal CT images-Reference-Cited by-同舟云学术

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Analysis of manual segmentation in paranasal CT images

Published:2008-02-06 Issue:9 Volume:265 Page:1061-1070
ISSN:0937-4477
Container-title:European Archives of Oto-Rhino-Laryngology
language:en
Short-container-title:Eur Arch Otorhinolaryngol

Author:

Tingelhoff Kathrin,Eichhorn Klaus W. G.,Wagner Ingo,Kunkel Maria E.,Moral Analia I.,Rilk Markus E.,Wahl Friedrich M.,Bootz Friedrich

Publisher

Springer Science and Business Media LLC

Subject

General Medicine,Otorhinolaryngology

Link

http://link.springer.com/content/pdf/10.1007/s00405-008-0594-z.pdf

Reference14 articles.

1. Apelt D, Preim B, Hahn HK, Strauß G (2004) Bildanalyse und visualisierung für die Planung von Nasennebenhöhlen-Operationen. Bildverarbeitung für die Medizin 2004, Informatik aktuell. Springer, pp S194–S198

2. Ashton EA, Takahashi C, Berg MJ, Goodman A, Totterman S, Ekholm S (2003) Accuracy and reproducibility of manual and semiautomated quantification of MS lesions by MRI. J Magn Reson Imaging 17(3):300–308

3. Chalana V, Kim YM (1997) A methodology for evaluation of boundary detection algorithms on medical images. IEEE Trans Med Imaging 16(5):642–652

4. Cootes TF, Cooper D, Taylor CJ, Graham J (1995) Active shape models—their training and application. Comput Vis Image Underst 61(1):38–59

5. Cootes TF, Edwards GJ, Taylor CJ (1998) Active appearance models, In: Burkhardt H, Neumann B (eds), Proc. European conference on computer vision 1998, Vol 2. Springer, pp 484–498

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