Abstract | ||
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Variations in the color and intensity of hematoxylin and eosin (H&E) stained histological slides can potentially hamper the effectiveness of quantitative image analysis. This paper presents a fully automated algorithm for standardization of whole-slide histopathological images to reduce the effect of these variations. The proposed algorithm, called whole-slide image color standardizer (WSICS), uti... |
Year | DOI | Venue |
---|---|---|
2016 | 10.1109/TMI.2015.2476509 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Image color analysis,Standardization,Training,Transforms,Design automation,Robustness,Optical imaging | Computer vision,Color constancy,Coefficient of variation,H&E stain,Normalization (statistics),Stain,Artificial intelligence,Color model,Pixel,Standard deviation,Mathematics | Journal |
Volume | Issue | ISSN |
35 | 2 | 0278-0062 |
Citations | PageRank | References |
27 | 1.32 | 11 |
Authors | ||
7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Babak Ehteshami Bejnordi | 1 | 720 | 30.27 |
Geert Litjens | 2 | 996 | 50.79 |
Nadya Timofeeva | 3 | 27 | 1.32 |
irene otteholler | 4 | 32 | 1.88 |
André Homeyer | 5 | 53 | 6.60 |
Nico Karssemeijer | 6 | 992 | 122.49 |
j a w m van der laak | 7 | 702 | 29.53 |