41 Open source projects that are alternatives of or similar to Monai

A collection of deep learning models with a unified API.

2D Fourier Transform of Nuclear Magnetic Resonance Imaging raw data

Robust Chest CT Image Segmentation of COVID-19 Lung Infection based on limited data

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.

Pytorch version of the HyperDenseNet deep neural network for multi-modal image segmentation

DICOM 3D Medical Image Modeling (DMIM)

Multiple Meta-model Quantifying for Medical Visual Question Answering

RESTful PACS server with plugins

WolfPACS is an DICOM load balancer written in Erlang.

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

Repository of paper "Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks"

COVID-CXNet: Diagnosing COVID-19 in Frontal Chest X-ray Images using Deep Learning. Preprint available on arXiv: https://arxiv.org/abs/2006.13807

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

U-Net for biomedical image segmentation

No description or website provided.

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

Unofficial implementation for ScanNet (a fast WSI prediction method) in PyTorch.

Example notebooks demonstrating how to use Clara Train to build Medical Imaging Deep Learning models

Constrained Large Deformation Diffeomorphic Image Registration (CLAIRE)

A jupyter widget for the cornerstone library to make showing flashy images with nice tools easier.

VNet for 3d volume segmentation

Surgical Image Guidance and Healthcare Toolkit

Meta-repository of screening mammography classifiers

MRQy is a quality assurance and checking tool for quantitative assessment of magnetic resonance imaging (MRI) data.

A little viewer for visualizing medical images and respective labels

Sequential patch-based segmentation for medical image

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

A deep learning framework for detecting lesions in CT scans from Deep Lesion dataset

PyTorch implementation of Grouped SSD (GSSD) and GSSD++ for focal liver lesion detection from multi-phase CT images (MICCAI 2018, IEEE TETCI 2021)

nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.

Medical Image Vision Operators, such as RoIAlign, DCNv1, DCNv2 and NMS for both 2/3D images.

Official PyTorch and MATLAB implementations of our MICCAI 2020 paper "FocusLiteNN: High Efficiency Focus Quality Assessment for Digital Pathology"

TubeTK is an open-source toolkit for the segmentation, registration, and analysis of tubes and surfaces in images, developed by Kitware, Inc.

Paper notes in deep learning/machine learning and computer vision

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

The PyTorch re-implement of a 3D CNN Tracker to extract coronary artery centerlines with state-of-the-art (SOTA) performance. (paper: 'Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier')

Attention Unet model with post process for retina optic disc segmention

An open source library for streaming and preprocessing point-of-care ultrasound video.

An implementation of the research paper "Retina Blood Vessel Segmentation Using A U-Net Based Convolutional Neural Network"

Implementations of recent research prototypes/demonstrations using MONAI.

Repository containing the code of one of the networks that we employed in the iSEG Grand MICCAI Challenge 2017, infant brain segmentation.