Augmented Reality
A promising technique to realize augmented reality on future light-weight glasses is to offload computationally extensive rendering tasks to the cloud. This however places considerable demands on the network as well as the air interface with respect to latency, reliability and throughput. For evaluation of these architectures and for traffic modelling, a dataset is provided, which contains realistic payloads of cloud-rendered augmented reality in form of video files.
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Nextmed project is a software platform for the segmentation and visualization of medical images. It consist on a series of different automatic segmentation algorithms for different anatomical structures and a platform for the visualization of the results as 3D models.
This dataset contains the .obj and .nrrd files that correspond to the results of applying our automatic lung segmentation algorithm to the LIDC-IDRI dataset.
This dataset relates to 718 of the 1012 LIDC-IDRI scans.
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