Applications of CycleGAN part1(Machine Learning)
Standardized CycleGAN training for unsupervised stain adaptation in invasive carcinoma classification for breast histopathology(arXiv) Author : Nicolas Nerrienet, Rémy Peyret, Marie Sockeel, Stéphane Sockeel Abstract : Generalization is one of the main challenges of computational pathology. Slide preparation heterogeneity and the diversity of scanners lead to poor model performance when…
Applications of CycleGAN part1(Machine Learning) Standardized CycleGAN training for unsupervised stain adaptation in invasive carcinoma classification for breast histopathology(arXiv) Author : Nicolas Nerrienet, Rémy Peyret, Marie Sockeel, Stéphane Sockeel Abstract : Generalization is one of the main challenges of computational pathology. Slide preparation heterogeneity and the diversity of scanners lead to poor model performance when… deep-learning
Applications CycleGAN part1Machine Learning Standardized CycleGAN training unsupervised stain adaptation invasive carcinoma classification breast histopathologyarXiv Author Nicolas Nerrienet Rémy Peyret Marie Sockeel Stéphane Sockeel Abstract Generalization one main challenge computational pathology Slide preparation heterogeneity diversity scanner lead poor model performance when… deeplearning