585 Open source projects that are alternatives of or similar to nobrainer

Framework for the reproducible processing of neuroimaging data with deep learning methods

ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)

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

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

SegAN: Semantic Segmentation with Adversarial Learning

Deep Learning Toolkit for Medical Image Analysis

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

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.

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.

This is the example implementation of UNet model for semantic segmentations

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

Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)

Kidney Tumor Segmentation Challenge 2019

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

Slicer extensions index

Awesome GAN for Medical Imaging

A framework for GPU based high-performance medical image processing and visualization

COVID deterioration prediction based on chest X-ray radiographs via MoCo-trained image representations

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

Dicoogle - Open Source PACS

Tools for tissue image stain normalisation and augmentation in Python 3

MNE-CPP: A Framework for Electrophysiology

OSS Implementation of DICOMweb standard

Open solution to the Data Science Bowl 2018

Deep Learning Papers on Medical Image Analysis

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

Official public repository of Gate

A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning

Deep Reinforcement Learning (DRL) agents applied to medical images

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

The Medical Image Registration ToolKit (MIRTK), the successor of the IRTK, contains common CMake build configuration files, core libraries, and basic command-line tools. Extension packages are hosted by the MIRTK GitHub group at

Visvis - the object oriented approach to visualization

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.

[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

DLTK Model Zoo

Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation"

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

Weakly Supervised Learning for Findings Detection in Medical Images

A platform for end-to-end development of machine learning solutions in biomedical imaging

Pure Rust implementation of the DICOM standard

Awesome list of software that I use to do research in medical imaging.

Segmentation of skin cancers on ISIC 2017 challenge dataset.

Lightweight framework for fast prototyping and training deep neural networks with PyTorch and TensorFlow

Javascript implementation of DICOM manipulation

Tensorflow implementation of the V-Net architecture for medical imaging segmentation.

Starviewer, a cross-platform open source medical imaging software

Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification. ICIAR 2018 Grand Challenge on BreAst Cancer Histology images (BACH)

X-ray Images (Chest images) analysis and anomaly detection using Transfer learning with inception v2

BCCD (Blood Cell Count and Detection) Dataset is a small-scale dataset for blood cells detection.

Tel-Aviv Deep Learning Boot-camp: 12 Applied Deep Learning Labs

ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty

Deep Learning for Automatic Pneumonia Detection, RSNA challenge

Code for DARTS: DenseUnet-based Automatic Rapid Tool for brain Segmentation

Image segmentation - general superpixel segmentation & center detection & region growing

Odil is a C++11 library for the DICOM standard

🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease

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

DICOM Viewer in Nextcloud

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