Showing 3 open source projects for "spatial"

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    TorchIO

    TorchIO

    Medical imaging toolkit for deep learning

    TorchIO is an open-source Python library for efficient loading, preprocessing, augmentation and patch-based sampling of 3D medical images in deep learning, following the design of PyTorch. It includes multiple intensity and spatial transforms for data augmentation and preprocessing. These transforms include typical computer vision operations such as random affine transformations and also domain-specific ones such as simulation of intensity artifacts due to MRI magnetic field inhomogeneity (bias) or k-space motion artifacts. TorchIO is a Python package containing a set of tools to efficiently read, preprocess, sample, augment, and write 3D medical images in deep learning applications written in PyTorch, including intensity and spatial transforms for data augmentation and preprocessing. ...
    Downloads: 1 This Week
    Last Update:
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  • 2
    GeoKettle
    GeoKettle is a powerful, metadata-driven spatial ETL (Extract, Transform and Load) tool dedicated to the integration of different data sources for building and updating geospatial databases, data warehouses and services.
    Downloads: 1 This Week
    Last Update:
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  • 3
    SOLAPLayers is a cartographic component which enables navigation in geospatial (Spatial OLAP or SOLAP) data cubes. It aims to be integrated into existing dashboard frameworks in order to produce interactive geo-analytical dashboards.
    Downloads: 0 This Week
    Last Update:
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