Showing 6 open source projects for "parallel image segmentation"

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  • 1
    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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  • 2
    Deep Learning 500 Questions

    Deep Learning 500 Questions

    500 Questions on Deep Learning using a question-and-answer format

    ...The first sections focus on essential mathematics, machine learning basics, and deep learning foundations, establishing the groundwork for more advanced topics. Later chapters explore classic neural network structures such as CNNs, RNNs, and GANs, as well as key applications in computer vision like object detection and image segmentation. The resource also delves into optimization methods, including transfer learning, network architecture design, hyperparameter tuning, model compression, and acceleration techniques.
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  • 3
    NiftyNet

    NiftyNet

    An open-source convolutional neural networks platform for research

    ...Adapt existing networks to your imaging data. Quickly build new solutions to your own image analysis problems. NiftyNet currently supports medical image segmentation and generative adversarial networks. NiftyNet is not intended for clinical use.
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  • 4
    Deep Learning for Medical Applications

    Deep Learning for Medical Applications

    Deep Learning Papers on Medical Image Analysis

    Deep-Learning-for-Medical-Applications is a repository that compiles deep learning methods, code implementations, and examples applied to medical imaging and healthcare data. The project addresses domain-specific challenges like segmentation, classification, detection, and multimodal data (e.g. MRI, CT, X-ray) using state-of-the-art architectures (e.g. U-Net, ResNet, GAN variants) tailored to medical constraints (small datasets, annotation costs, class imbalance). It includes Jupyter...
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  • 5
    Scilab Image Processing Toolbox

    Scilab Image Processing Toolbox

    Advanced image processing toolbox for Scilab on Unix/Linux/Mac OS

    SIP is the image processing and computer vision package for SciLab, a free Matlab-like programming environment. SIP reads/writes images in formats like JPEG, PNG, and BMP. It does filtering, segmentation, edge detection, morphology, and shape analysis. Download from Git http://siptoolbox.sourceforge.net/devel
    Downloads: 17 This Week
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  • 6
    MatrixUser

    MatrixUser

    A Multi-functional GUI-based Program for Image Processing and Analysis

    The MatrixUser project is moving to GitHub, the latest version can be obtained from https://leoliuf.github.io/MatrixUser/ Most of the medical images (e.g. CT, MRI, PET, etc.) comprises multiple frames which represent slices, phases, timing etc. from the same imaging object. Those images can be saved as multidimensional matrices in Matlab thanks to Matlab's powerful support of multidimensional data representation. However, within Matlab, most of image manipulation functions are limited or...
    Downloads: 0 This Week
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