medical-imaging

Top 23 medical-imaging Open-Source Projects

  • deep-learning-drizzle

    Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

  • Viewers

    OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages

  • Project mention: Show HN: Volume rendering 3D data in Three.js and GLSL | news.ycombinator.com | 2024-04-21

    My app does not support DICOM files as input. Just Uint8 256x256x256 raw files that are scaled 1x1x1. Maybe if I had the chance to work on it full-time I'd have the time to add those features, but it's just a side project for now.

    Have you looked into Slicer3D[0] which is a multi-platform desktop app or Open Health Image Foundations dicom viewer[1] which is web-based? Perhaps one of these will help.

    [0] https://www.slicer.org/

    [1] https://github.com/OHIF/Viewers

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • UNetPlusPlus

    [IEEE TMI] Official Implementation for UNet++

  • medical-imaging-datasets

    A list of Medical imaging datasets.

  • Project mention: Looking for this particular dataset on Cervical cancer [R] | /r/MachineLearning | 2023-09-24

    If you are specifically looking for image datasets, you can check out this page: https://github.com/sfikas/medical-imaging-datasets

  • cornerstone

    JavaScript library to display interactive medical images including but not limited to DICOM (by cornerstonejs)

  • dwv

    DICOM Web Viewer: open source zero footprint medical image library.

  • ITK

    Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • medicaldetectiontoolkit

    The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

  • awesome-transformers-in-medical-imaging

    A collection of resources on applications of Transformers in Medical Imaging.

  • fo-dicom

    Fellow Oak DICOM for .NET, .NET Core, Universal Windows, Android, iOS, Mono and Unity

  • dicom

    ⚡High Performance DICOM Medical Image Parser in Go.

  • torchxrayvision

    TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.

  • dipy

    DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

  • MONAILabel

    MONAI Label is an intelligent open source image labeling and learning tool.

  • cornerstone3D

    Cornerstone is a set of JavaScript libraries that can be used to build web-based medical imaging applications. It provides a framework to build radiology applications such as the OHIF Viewer.

  • GDCM

    Grassroots DICOM read-only mirror. Only for Pull Request. Please report bug at http://sf.net/p/gdcm

  • cucim

    cuCIM - RAPIDS GPU-accelerated image processing library

  • Project mention: FLaNK Stack Weekly for 13 November 2023 | dev.to | 2023-11-13
  • brainchop

    Brainchop: In-browser 3D MRI rendering and segmentation

  • Project mention: Release Radar • March 2024 Edition | dev.to | 2024-04-07

    We featured Brainchop back in the February 2023 Release Radar. Since then, Brainchop is back with a powerful model update. Brainchop is a 3D MRI rendering and segmentation tool for analysing and processing Magnetic Resonance Imaging (MRIs) of various brains. Using AI, the new version features three classes of models for processing and analysing images of brains. Here are the three new models:

  • visvis

    Visvis - the object oriented approach to visualization

  • AlizaMS

    DICOM Viewer

  • dicomviewer

    DICOM Viewer in Nextcloud

  • rt-utils

    A minimal Python library to facilitate the creation and manipulation of DICOM RTStructs.

  • platipy

    Processing Library and Analysis Toolkit for Medical Imaging in Python

  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

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NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

medical-imaging related posts

Index

What are some of the best open-source medical-imaging projects? This list will help you:

Project Stars
1 deep-learning-drizzle 11,749
2 Viewers 2,894
3 UNetPlusPlus 2,170
4 medical-imaging-datasets 2,021
5 cornerstone 2,007
6 dwv 1,596
7 ITK 1,339
8 medicaldetectiontoolkit 1,266
9 awesome-transformers-in-medical-imaging 1,101
10 fo-dicom 1,018
11 dicom 896
12 torchxrayvision 828
13 dipy 669
14 MONAILabel 536
15 cornerstone3D 423
16 GDCM 336
17 cucim 306
18 brainchop 228
19 visvis 226
20 AlizaMS 219
21 dicomviewer 214
22 rt-utils 173
23 platipy 87

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