Showing 15 open source projects for "segmentation"

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  • 1
    DQO Data Quality Operations Center

    DQO Data Quality Operations Center

    Data Quality Operations Center

    ...DQO comes with around 100 predefined data quality checks which helps you monitor the quality of your data. Table and column-level checks which allows writing your own SQL queries. Daily and monthly date partition testing. Data segmentation by up to 9 different data streams. Build-in scheduling. Calculation of data quality KPIs which can be displayed on multiple built-in data quality dashboards.
    Downloads: 0 This Week
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  • 2
    CleanVision

    CleanVision

    Automatically find issues in image datasets

    ...CleanVision helps you automatically identify common types of data issues lurking in image datasets. This package currently detects issues in the raw images themselves, making it a useful tool for any computer vision task such as: classification, segmentation, object detection, pose estimation, keypoint detection, generative modeling, etc.
    Downloads: 2 This Week
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  • 3
    DataChain

    DataChain

    AI-data warehouse to enrich, transform and analyze unstructured data

    ...Datachain can persist features of Python objects returned by AI models, and enables vectorized analytical operations over them. The typical use cases are data curation, LLM analytics and validation, image segmentation, pose detection, and GenAI alignment. Datachain is especially helpful if batch operations can be optimized – for instance, when synchronous API calls can be parallelized or where an LLM API offers batch processing.
    Downloads: 2 This Week
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  • 4
    Countly iOS SDK

    Countly iOS SDK

    Countly Product Analytics iOS SDK with macOS, watchOS and tvOS support

    Countly SDK for iOS is an analytics SDK for integrating real-time event tracking, user profiles, crash reporting, and push notifications into iOS apps. It provides detailed insights into user behavior and app performance.
    Downloads: 0 This Week
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  • 5
    Deep Learning course

    Deep Learning course

    Slides and Jupyter notebooks for the Deep Learning lectures

    Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris. This course is being taught at as part of Master Year 2 Data Science IP-Paris. Note: press "P" to display the presenter's notes that include some comments and additional references. This lecture is built and maintained by Olivier Grisel and Charles Ollion.
    Downloads: 0 This Week
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  • 6
    Gimias

    Gimias

    Graphical Interface for Medical Image Analysis and Simulation

    GIMIAS is a workflow-oriented environment for solving advanced biomedical image computing and individualized simulation problems, which is extensible through the development of problem-specific plug-ins. In addition, GIMIAS provides an open source framework for efficient development of research and clinical software prototypes integrating contributions from the Physiome community while allowing business-friendly technology transfer and commercial product development.
    Downloads: 0 This Week
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  • 7
    2P Toolbox

    2P Toolbox

    Two-Photon Data Analysis Toolbox

    The 2P_Tools.jar is a series of hopefully useful Fiji Plugins to evaluate data acquired by two-photon imaging. It supports multiple features like conversion to normalized image stacks, preprocessing and image segmentation.
    Downloads: 0 This Week
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  • 8
    This is the prototype version of software for robust detecting and segmentation of cell nuclei in 3D fluorescence labeled microscopy images. First release coming soon...
    Downloads: 0 This Week
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  • 9
    HM integration for vessel segmentation
    Human Machine integration for vessel segmentation has as main objective finding precise methods for the segmentation of blood vessels in retinal images, with the main goal of improving screening and diagnosis procedures.
    Downloads: 0 This Week
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  • 10
    "MITO - Medical Imaging TOolkit" is an open-source, Windows-based software architecture for advanced Medical Imaging. Main characteristics are: DICOM compliant, 2D/3D/S3D visualization, image segmentation and fusion, ROI, advanced 3D user interface
    Downloads: 1 This Week
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  • 11
    3D medical image platform for visualization and image processing. Segmentation with Levels sets. Surface reconstruction with marching Cubes, texture Mapping and Raycasting,DICOM support. Integration environment for VTK, ITK and vtkInria3D under wxWidgets
    Downloads: 0 This Week
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  • 12
    This project shows how to integrate NVIDIA CUDA GPU programming API into ITK (Insight Segmentation and Registration Toolkit) library
    Downloads: 0 This Week
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  • 13
    MASQOT-GUI is an open-source, platform-independent application for two-channel microarray spot quality control. Included is a set of tools for gridding, segmentation, quantification, multivariate spot quality assessment and data visualization.
    Downloads: 0 This Week
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  • 14
    SMIT (Scientific & Medical Imaging Tool) assists in image analysis of 3D datasets. It supports image registration, image segmentation, 3D ROI analysis, and least square fitting. Its powerful OpenGL engine displays your data fast and accurately. Enjoy!
    Downloads: 0 This Week
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  • 15
    Open Source and Portable object oriented software for 3D digital image segmentation and visualization. Pipes and Filters Architechture. Implemented in C++, and uses FLTK, VTK, ITK, TCL (plugins), and pipeline filters implemented in XML. DICOM support.
    Downloads: 0 This Week
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