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© Research
Publication : (eds) Digital Pathology. ECDP 2019. Lecture Notes in Computer Science. Springer, Cham

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

Scientific Fields
Diseases
Organisms
Applications
Technique

Published in (eds) Digital Pathology. ECDP 2019. Lecture Notes in Computer Science. Springer, Cham - 03 Jul 2019

Gonzalez Obando, D.F., Mandache, D., Olivo-Marin, JC., Meas-Yedid, V

Link to DOI – 10.1007/978-3-030-23937-4_21

vol 11435

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.

https://link.springer.com/chapter/10.1007/978-3-030-23937-4_21