A 66-laboratory H&E staining dataset reveals broad stain variation, and benchmarking shows a simple histogram-matching method outperforms GAN-based normalization methods.
A.et al.Current and future applications of artificial intelligence in pathology: a clinical perspective.J
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.IV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Staining normalization in histopathology: Method benchmarking using multicenter dataset
A 66-laboratory H&E staining dataset reveals broad stain variation, and benchmarking shows a simple histogram-matching method outperforms GAN-based normalization methods.