Relevant bibliographies by topics / Stain-invariance

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  1. Journal articles
  2. Dissertations / Theses
  3. Conference papers

Academic literature on the topic 'Stain-invariance'

Author: Grafiati
Published: 23 November 2024
Last updated: 31 July 2025

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Journal articles on the topic "Stain-invariance"

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Vasiljević, Jelica, Friedrich Feuerhake, Cédric Wemmert, and Thomas Lampert. "Towards histopathological stain invariance by Unsupervised Domain Augmentation using generative adversarial networks." Neurocomputing 460 (October 2021): 277–91. http://dx.doi.org/10.1016/j.neucom.2021.07.005.

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2

sprotocols. "Array Tomography: High-Resolution Three-Dimensional Immunofluorescence." December 30, 2014. https://doi.org/10.5281/zenodo.13589.

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Authors: Kristina D. Micheva, Nancy O’Rourke, Brad Busse and Stephen J. Smith Adapted from [*Imaging: A Laboratory Manual* ](http://www.cshlpress.com/link/imagingp.htm)(ed. Yuste). CSHL Press, Cold Spring Harbor, NY, USA, 2010. ### INTRODUCTION Array tomography, which is described in this article, is a volumetric microscopy method based on physical serial sectioning. Ultrathin sections of a plastic-embedded tissue are cut using an ultramicrotome, bonded in an ordered array to a glass coverslip, stained as desired, and imaged. The resulting two-dimensional image tiles can then be reconstructed
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sprotocols. "Array Tomography: High-Resolution Three-Dimensional Immunofluorescence." December 30, 2014. https://doi.org/10.5281/zenodo.13588.

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Authors: Kristina D. Micheva, Nancy O’Rourke, Brad Busse and Stephen J. Smith Adapted from [*Imaging: A Laboratory Manual* ](http://www.cshlpress.com/link/imagingp.htm)(ed. Yuste). CSHL Press, Cold Spring Harbor, NY, USA, 2010. ### INTRODUCTION Array tomography, which is described in this article, is a volumetric microscopy method based on physical serial sectioning. Ultrathin sections of a plastic-embedded tissue are cut using an ultramicrotome, bonded in an ordered array to a glass coverslip, stained as desired, and imaged. The resulting two-dimensional image tiles can then be reconstructed
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Dissertations / Theses on the topic "Stain-invariance"

1

Nisar, Zeeshan. "Self-supervised learning in the presence of limited labelled data for digital histopathology." Electronic Thesis or Diss., Strasbourg, 2024. http://www.theses.fr/2024STRAD016.

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Un défi majeur dans l'application de l'apprentissage profond à l'histopathologie réside dans la variation des colorations, à la fois inter et intra-coloration. Les modèles d'apprentissage profond entraînés sur une seule coloration (ou domaine) échouent souvent sur d'autres, même pour la même tâche (par exemple, la segmentation des glomérules rénaux). L'annotation de chaque coloration est coûteuse et chronophage, ce qui pousse les chercheurs à explorer des méthodes de transfert de coloration basées sur l'adaptation de domaine. Celles-ci visent à réaliser une segmentation multi-coloration en uti
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Conference papers on the topic "Stain-invariance"

1

Faryna, Khrystyna, Jeroen van der Laak, and Geert Litjens. "Towards embedding stain-invariance in convolutional neural networks for H&E-stained histopathology." In Digital and Computational Pathology, edited by John E. Tomaszewski and Aaron D. Ward. SPIE, 2024. http://dx.doi.org/10.1117/12.3006572.

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