Outre les histoires de réussite personnelles de nos clients, les études scientifiques sur l’utilisation de la microscopie virtuelle et de la pathologie numérique avec les produits de Smart In Media sont de plus en plus nombreuses. Cliquez ici pour les dernières publications scientifiques sur nos solutions de diagnostic:
In this paper, we investigate the potential of CycleGAN (cycle consistent Generative Adversarial Network) for color normalization in hematoxylin-eosin stained histological images using daily clinical data with consideration of the variability of internal staining protocol variations. The network consists of a generator network GB that learns to map an image X from a source domain A to a target domain B …
Tatyana Milman, Maya Eiger-Moscovich, Roger K Henry , Robert Folberg , Sarah E Coupland, Hans E Grossniklaus, Hardeep Singh Mudhar , Charles G Eberhart, Steffen Heegaard, Claudia Auw-Hädrich , Martina C Herwig-Carl, Karin U Löffler, Svetlana Cherepanoff , Qiang Zhang, James E Sharpe, Thonnie Rose O See , Carol L Shields, Ralph C Eagle Jr
This study highlights the comparable strengths and limitations of the 3 classification systems for conjunctival melanocytic intraepithelial lesions and suggests that the simplified WHO classification scheme is appropriate for evaluation of these lesions.
À propos de Smart In Media
Références
Aspects juridiques
Mentions légales
Copyright©2023 Smart In Media AG. All rights reserved. / Aspects juridiques / Mentions légales
