Wordprocessing

Practical quantification of necrosis in histological whole-slide images

Abstract:

Since the histological quantification of necrosis is a common task in medical research and practice, we evaluate different image analysis methods for quantifying necrosis in whole-slide images. In a practical usage scenario, we assess the impact of different classification algorithms and feature sets on both accuracy and computation time. We show how a well-chosen combination of multiresolution features and an efficient postprocessing step enables the accurate quantification necrosis in gigapixel images in less than a minute. The results are general enough to be applied to other areas of histological image analysis as well.

23796718

Projects: CTU Image Processing, D4: Regeneration and Liver Size

Comput Med Imaging Graph
Comput Med Imaging Graph 37(4): 313-22
21st Jun 2013

André Homeyer, Andrea Schenk, Janine Arlt, Uta Dahmen, Olaf Dirsch, Horst K Hahn

help Authors

[André Homeyer] [Andrea Schenk] [Uta Dahmen] [Olaf Dirsch] [Janine Arlt]

help Attributions

None

help Scales


Liver lobule and Liver
Views: 1773
  • Created: 7th Nov 2013 at 08:56

Related items

Ajax-loader-large

Log in / Register

Need an account?
Sign up

Forgotten password?

Front Page

Virtual Liver Network

(v.0.22.0)

Related Projects and friends


Imprint Taverna workflow workbench myExperiment JWS Online ISATAB myGrid Sabio-RK BioPortal Semantic SBML

Powered by:

Ror-logo-32

Icons:
Silk icons 1.3
Crystal Clear icons