252 Open source projects that are alternatives of or similar to Odil

A set of common support code for medical imaging, surgical navigation, and related purposes.

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

JavaScript library to display interactive medical images including but not limited to DICOM

The OHIF Medical Imaging Viewer is for viewing medical images. It can retrieve and load images from most sources and formats; render sets in 2D, 3D, and reconstructed representations; allows for the manipulation, annotation, and serialization of observations; supports internationalization, OpenID Connect, offline use, hotkeys, and many more features.

Pure Rust implementation of the DICOM standard

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

MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production.

A framework for tools built on top of Cornerstone.

The Medical Imaging Interaction Toolkit.

Javascript implementation of DICOM manipulation

This simple and generic viewer allows you to visualize different kinds of data such as medical and biological images, 3D surfaces, electric signals (ECGs) and documents.

A medical image converter

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

⚡High Performance DICOM Medical Image Parser in Go.

An application displaying 2D/3D Dicom

Starviewer, a cross-platform open source medical imaging software

DICOM Viewer

OSS Implementation of DICOMweb standard

Weasis is a DICOM viewer available as a desktop application or as a web-based application.

DICOM parser for golang

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

DICOM Viewer in Nextcloud

Dicoogle - Open Source PACS

DICOM Adapter is a component of the Clara Deploy SDK which facilitates integration with DICOM compliant systems, enables ingestion of imaging data, helps triggering of jobs with configurable rules and offers pushing the output of jobs to PACS systems.

RESTful PACS server with plugins

Medical image preprocessing and augmentation toolkit for deep learning

A medical imaging framework for Pytorch

Segment Source Distribution

A list of Medical imaging datasets.

Code for analyzing medical images saved as .dicom files

Robust 3D Neuron Tracing / General 3D tree structure extraction in Python for 3D images powered by the Rivulet2 algorithm. Pain-free Install & use in 5 mins.

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

Kaggle datascience bowl 2017

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

Deep Learning tools for brain medical images

A DVH Database for Clinicians and Researchers (Deprecated)

AMI Medical Imaging (AMI) JS ToolKit

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics

High-level DICOM abstractions for the Python programming language

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge

DEPRECATED development has moved to https://github.com/rordenlab/MRIcroGL12

Website for NA-MIC Project Weeks

JavaScript parser for DICOM Part 10 data

Repository for the article "Unsupervised domain adaptation for medical imaging segmentation with self-ensembling".

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.

Python client for DICOMweb RESTful services

A DICOM Database Application for Radiation Oncology

Keras implementation of the multi-channel cascaded architecture introduced in the paper "Brain Tumor Segmentation with Deep Neural Networks"

U-Net Brain Tumor Segmentation

Paper reading notes on Deep Learning and Machine Learning

Tensorflow implementation of paper: A Hierarchical Approach for Generating Descriptive Image Paragraphs

U-Net: Convolutional Networks for Biomedical Image Segmentation

Classification for covid-19 chest X-ray images using Lightning

Python library for reading and writing image data

dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC

Official DCMTK Github Mirror

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.

Medical image processing in Python