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Virtual review of large scale image stack on 3D display

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Abstract

Large scale images allow pathologists to perform reviews, using computer workstations instead of microscopes. This trend raises a wide range of issues related to the management of these massive datasets. In particular, efficient solutions for data storage and processing have to be developed in order to deliver increasingly reliable and faster analyses. In addition, the improvement of workflows also requires the reinforcement of visualization capabilities. In this paper, we present a new virtual microscopy (VM) approach for interactive-time navigation in large images stack with 3D visualization on multi-stereo display. Our work is based on a tool that combines 3D pyrami-dal representation and out-of-core data management for interactive on-demand streaming of large datasets on GPUs. The preliminary results suggest that the proposed solution facilitates the reading and the understanding of data essentially because they are spatialized. Index Terms-Virtual microscopy, 3D display, Out-of-core hierarchical visualization, GPU rendering.
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Dates and versions

hal-02994434 , version 1 (18-11-2020)

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J. Sarton, N. Courilleau, A-S. Herard, T. Delzescaux, Y. Remion, et al.. Virtual review of large scale image stack on 3D display. IEEE International Conference on Image Processing (ICIP), 2017, Beijing, China. pp.2229-2233, ⟨10.1109/ICIP.2017.8296678⟩. ⟨hal-02994434⟩
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