Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
504161 | Computerized Medical Imaging and Graphics | 2013 | 10 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
André Homeyer, Andrea Schenk, Janine Arlt, Uta Dahmen, Olaf Dirsch, Horst K. Hahn,