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Chapitre D'ouvrage Année : 2019

Icytomine: A User-Friendly Tool for Integrating Workflows on Whole Slide Images

Résumé

We present Icytomine, a user-friendly software platform for processing large images from slide scanners. Icytomine integrates in one unique framework the tools and algorithms that were developed independently on Icy and Cytomine platforms to visualise and process digital pathology images. We illustrate the power of this new platform through the design of a dedicated program that uses convolutional neural network to detect and classify glomeruli in kidney biopsies coming from a multicentric clinical study. We show that by streamlining the analytical capabilities of Icy with the AI tools found in Cytomine, we achieved highly promising results.
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Dates et versions

hal-02269310 , version 1 (22-08-2019)

Identifiants

Citer

Daniel Felipe Gonzalez Obando, Diana Mandache, Jean-Christophe Olivo-Marin, Vannary Meas-Yedid. Icytomine: A User-Friendly Tool for Integrating Workflows on Whole Slide Images. Digital Pathology: 15th European Congress, ECDP 2019, Warwick, UK, April 10–13, 2019, Proceedings, 11435, Springer, pp.181-189, 2019, Lecture Notes in Computer Science, 978-3-030-23937-4. ⟨10.1007/978-3-030-23937-4_21⟩. ⟨hal-02269310⟩
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