Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Feature Selection Based on Iterative Canonical Correlation Analysis for Automatic Diagnosis of Parkinson’s Disease Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Orientation-Sensitive Overlap Measures for the Validation of Medical Image Segmentations

Authors : Tasos Papastylianou, Erica Dall’ Armellina, Vicente Grau

Published in: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Validation is a key concept in the development and assessment of medical image segmentation algorithms. However, the proliferation of modern, non-deterministic segmentation algorithms has not been met by an equivalent improvement in validation strategies. In this paper, we briefly examine the state of the art in validation, and propose an improved validation method for non-deterministic segmentations, showing that it improves validation precision and accuracy on both synthetic and clinical sets, compared to more traditional (but still widely used) methods and state of the art.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Dynamically Balanced Online Random Forests for Interactive Scribble-Based Segmentation
next chapter High-Throughput Glomeruli Analysis of CT Kidney Images Using Tree Priors and Scalable Sparse Computation
Footnotes
1
We use the term “fuzzy” here in a broad sense, i.e. all methods assigning non-discrete labels, of which modern probabilistic segmentation methods are a strict subset.
 
Literature
1.
Udupa, J.K., et al.: A framework for evaluating image segmentation algorithms. Comput. Med. Imaging Graph. 30, 75–87 (2006)CrossRef
2.
Zhang, Y.: A survey on evaluation methods for image segmentation. Pattern Recogn. 29, 1335–1346 (1996)CrossRef
3.
Weisenfeld, N.I., Warfield, S.K.: SoftSTAPLE: Truth and performance-level estimation from probabilistic segmentations. In: IEEE International Symposium on Biomedical Imaging, pp. 441–446 (2011)
4.
Ballester, M.À.G., Zisserman, A.P., Brady, M.: Estimation of the partial volume effect in MRI. Med. Image Anal. 6, 389–405 (2002)CrossRef
5.
6.
Yi, Z., Criminisi, A., Shotton, J., Blake, A.: Discriminative, semantic segmentation of brain tissue in MR images. In: Yang, G.-Z., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds.) MICCAI 2009. LNCS, vol. 5762, pp. 558–565. Springer, Heidelberg (2009). doi:10.​1007/​978-3-642-04271-3_​68 CrossRef
7.
Chang, H.H., et al.: Performance measure characterization for evaluating neuroimage segmentation algorithms. NeuroImage 47, 122–135 (2009)CrossRef
8.
Crum, W.R., Camara, O., Hill, D.L.: Generalized overlap measures for evaluation and validation in medical image analysis. IEEE Trans. Med. Imaging 25, 1451–1461 (2006)CrossRef
9.
Bloch, I., Maitre, H.: Fuzzy mathematical morphologies: a comparative study. Pattern Recogn. 28, 1341–1387 (1995)MathSciNetCrossRef
10.
Hoover, A., Kouznetsova, V., Goldbaum, M.: Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response. IEEE Trans. Med. Imaging 19, 203–210 (2000)CrossRef
Metadata
Title
Orientation-Sensitive Overlap Measures for the Validation of Medical Image Segmentations
Authors
Tasos Papastylianou
Erica Dall’ Armellina
Vicente Grau
Copyright Year
2016
Book
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016

Print ISBN: 978-3-319-46722-1

Electronic ISBN: 978-3-319-46723-8

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-46723-8_42

Premium Partner

    Image Credits