Nuestros sistemas al servicio de la ciencia

Los investigadores también están aprovechando la patología digital y confían para sus estudios en los sistemas certificados y líderes en el mercado de imágenes médicas de Smart In Media. Aquí hay un pequeño resumen:

SOLUTION: PathoZoom® Scan & LiveView

A porcine model of postoperative hemi-diaphragmatic paresis to evaluate a unilateral diaphragmatic pacemaker

Tobias Kratz, Roman Ruff, Marit Bernhardt, David Katzer, Ulrike Herberg, Boulos Asfour, Johannes Breuer, Christina Oetzmann von Sochaczewski & Benjamin Bierbach

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SOLUTION: PathoZoom® Scan & LiveView

Quantification of intratumoural heterogeneity in mice and patients via machine-learning models trained on PET–MRI data

Prateek Katiyar, Johannes Schwenck, Leonie Frauenfeld, Mathew R. Divine, Vaibhav Agrawal, Ursula Kohlhofer, Sergios Gatidis, Roland Kontermann, Alfred Königsrainer, Leticia Quintanilla-Martinez, Christian la Fougère, Bernhard Schölkopf, Bernd J. Pichler & Jonathan A. Disselhorst

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With participation of CMO Martin R. Weihrauch

Normalization of HE-stained histological images using cycle consistent generative adversarial networks

Marlen Runz, Daniel Rusche, Stefan Schmidt, Martin R. Weihrauch, Jürgen Hesser, Cleo-Aron Weis

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SOLUTION: PathoZoom® SlideCloud

Validation of the Newly Proposed World Health Organization Classification System for Conjunctival Melanocytic Intraepithelial Lesions: A Comparison with the C-MIN and PAM Classification Schemes

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

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Nuestros sistemas al servicio de la ciencia

SOLUTION: PathoZoom® Scan & LiveView

A porcine model of postoperative hemi-diaphragmatic paresis to evaluate a unilateral diaphragmatic pacemaker

SOLUTION: PathoZoom® Scan & LiveView

Quantification of intratumoural heterogeneity in mice and patients via machine-learning models trained on PET–MRI data

With participation of CMO Martin R. Weihrauch

Normalization of HE-stained histological images using cycle consistent generative adversarial networks

SOLUTION: PathoZoom® SlideCloud

Validation of the Newly Proposed World Health Organization Classification System for Conjunctival Melanocytic Intraepithelial Lesions: A Comparison with the C-MIN and PAM Classification Schemes

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