Name
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.compmedimag.2013.05.002 | Computerized Medical Imaging and Graphics |
Keywords | DocType | Volume |
Necrosis quantification,Histological image analysis,Whole-slide imaging,Pattern recognition | Journal | 37 |
Issue | ISSN | Citations |
4 | 0895-6111 | 5 |
PageRank | References | Authors |
0.63 | 5 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| André Homeyer | 1 | 53 | 6.60 |
| Andrea Schenk | 2 | 310 | 31.12 |
| Janine Arlt | 3 | 6 | 1.68 |
| Uta Dahmen | 4 | 23 | 4.84 |
| Olaf Dirsch | 5 | 19 | 2.97 |
| Horst K. Hahn | 6 | 450 | 72.61 |