Showing 6 open source projects for "segmentation"

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  • 1
    Detectron2

    Detectron2

    Next-generation platform for object detection and segmentation

    ...It is a ground-up rewrite of the previous version, Detectron, and it originates from maskrcnn-benchmark. It is powered by the PyTorch deep learning framework. Includes more features such as panoptic segmentation, Densepose, Cascade R-CNN, rotated bounding boxes, PointRend, DeepLab, etc. Can be used as a library to support different projects on top of it. We'll open source more research projects in this way. It trains much faster. Models can be exported to TorchScript format or Caffe2 format for deployment. With a new, more modular design, Detectron2 is flexible and extensible, and able to provide fast training on single or multiple GPU servers. ...
    Downloads: 0 This Week
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  • 2
    pyhanlp

    pyhanlp

    Chinese participle

    ...In practice, it serves as a bridge layer: Python calls are translated into the corresponding HanLP operations, so you can keep your application logic in Python while relying on HanLP’s implementations. It is especially useful when you need a pragmatic “get results quickly” NLP layer for segmentation, tagging, entity extraction, parsing, or keyword-style tasks rather than experimenting with model training from scratch.
    Downloads: 0 This Week
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  • 3

    DRAMMS

    A Deformable Medical Image Registration Toolbox

    DRAMMS is a software package designed for 2D-to-2D and 3D-to-3D deformable medical image registration tasks. Released by Section of Biomedical Image Analysis (SBIA) at the University of Pennsylvania. Some typical applications of DRAMMS include, -- Cross-subject registration of the same organ (can be brain, breast, cardiac, etc); -- Mono- and Multi-modality registration (MRI, CT, histology); -- Longitudinal registration (pediatric brain growth, cancer development, mouse...
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    Downloads: 8 This Week
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  • 4
    WM Hyperintensities Segmentation Toolbox

    WM Hyperintensities Segmentation Toolbox

    Open Source White Matter Hyperintensities Segmentation Toolbox

    Wisconsin White Matter Hyperintensity Segmentation [W2MHS] and Quantification Toolbox is an open source MatLab toolbox designed for detecting and quantifying White Matter Hyperintensities (WMH) in Alzheimer’s and aging related neurological disorders. WMHs arise as bright regions on T2- weighted FLAIR images. They reflect comorbid neural injury or cerebral vascular disease burden.
    Downloads: 0 This Week
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  • 5
    Theba is a plugin-based image analysis framework for segmentation of and measurements on 3D and 2D images. Theba has a nice GUI that allows inspection and manipulation of the image and a wide range of plugins including segmentation.
    Downloads: 0 This Week
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  • 6
    An OpenGL GUI for the inspection and segmentation of 3D surface meshes
    Downloads: 0 This Week
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