175 Open source projects that are alternatives of or similar to Medical Imaging Datasets

Multi-platform, free open source software for visualization and image computing.

CNN implementation for medical X-Ray image segmentation

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tracking medical datasets, with a focus on medical imaging

Dermatology focused medical records software, augmented with computer vision and artificial intelligence [Meteor packaged with Electron]

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

Dataset: landmarks for registration of histology images

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.

Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai

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

The Medical Imaging Interaction Toolkit.

Improved Wasserstein GAN (WGAN-GP) application on medical (MRI) images

A medical imaging framework for Pytorch

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

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

BIRL: Benchmark on Image Registration methods with Landmark validations

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

Using Residual Attention Networks to diagnose retinal diseases in medical images

Segment Source Distribution

Main repository for fw4spl

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

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.

Framework for medical image segmentation using deep neural networks

Partial Volume Correction in PET

A framework for tools built on top of Cornerstone.

U-Net: Convolutional Networks for Biomedical Image Segmentation

Medical image viewer using DWV (DICOM Web Viewer) and jQuery Mobile.

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.

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

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

Chest Xray image analysis using Deep learning !

Medical image preprocessing and augmentation toolkit for deep learning

Automated lung segmentation in CT

Slicer extensions index

DIAGNOSIS OF DIABETIC RETINOPATHY FROM FUNDUS IMAGES USING SVM, KNN, and attention-based CNN models with GradCam score for interpretability,

⚡High Performance DICOM Medical Image Parser in Go.

Image-and-Spatial Transformer Networks

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

ICVGIP' 18 Oral Paper - Classification of thoracic diseases on ChestX-Ray14 dataset

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

RESTful PACS server with plugins

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

Collection of AI resources to fight against Coronavirus (COVID-19)

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

VisualQC : assistive tool to ease the quality control workflow of neuroimaging data.

Tools for MRI mouse brain morphometry

Resurces for MRI images processing and deep learning in 3D

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

Develop dose prediction models for knowledge-based planning in radiotherapy

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.

An implementation of MURA Dataset Towards Radiologist-Level Abnormality Detection in Musculoskeletal Radiographs

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.

An End-to-End Machine Learning Library to Optimize AUC (AUROC, AUPRC).

Multi-platform, free open source software for visualization and image computing.

U-Net Brain Tumor Segmentation

Deep Learning tools for brain medical images

Cookbook examples for the Insight Toolkit documented with Sphinx

Website for NA-MIC Project Weeks

Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans

Paper reading notes on Deep Learning and Machine Learning