1705 Open source projects that are alternatives of or similar to Slicer

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

Slicer extensions index

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.

Segment Source Distribution

Awesome GAN for Medical Imaging

SimpleITK: a layer built on top of the Insight Toolkit (ITK), intended to simplify and facilitate ITK's use in rapid prototyping, education and interpreted languages.

Open solution to the Data Science Bowl 2018

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

High-performance Vision library in Python. Scale your research, not boilerplate.

Medical image preprocessing and augmentation toolkit for deep learning

Sources for the ITKSoftwareGuide.

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

Segmentation models with pretrained backbones. PyTorch.

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

Framework for medical image segmentation using deep neural networks

End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

Superpixels segmentation algorithms with QT and OpenCV, with a nice GUI to colorize the cells

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.

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

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

Project for segmentation of blood vessels, microaneurysm and hardexudates in fundus images.

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

A framework for developing neural network models for 3D image processing.

PyTorch Implementation of Small Lesion Segmentation in Brain MRIs with Subpixel Embedding (ORAL, MICCAIW 2021)

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"

Deep Learning Toolkit for Medical Image Analysis

Brainy is a virtual MRI analyzer. Just upload the MRI scan file and get 3 different classes of tumors detected and segmented. In Beta.

fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.

A lean C++ library for working with point cloud data

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

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

MITK Diffusion - Official part of the Medical Imaging Interaction Toolkit

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

Medical Image Segmentation Toolkit based on PaddlePaddle - 基于paddle的医学影像分割框架

PyTorch extensions for fast R&D prototyping and Kaggle farming

Catalyst.Segmentation

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

C++ implementation pool for computer vision R&D projects.

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

Medical image segmentation ( Eye vessel segmentation)

📷 Reactive python package for managing, creating and visualizing different deep-learning image annotation formats

Papers and Datasets about Point Cloud.

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

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

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

Skin lesion detection from dermoscopic images using Convolutional Neural Networks

Brain extraction in presence of abnormalities, using single and multiple MRI modalities

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

medical image visualization library and development toolkit

Prostate MR Image Segmentation 2012

Resurces for MRI images processing and deep learning in 3D

Advanced Normalization Tools in R

A label tool aim to reduce semantic segmentation label time, rectangle and polygon annotation is supported

Automatic anime screenshot stitching in high quality

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

Smart India Hackathon 2019 project given by the Department of Atomic Energy

CNN implementation for medical X-Ray image segmentation

An integration between Qt Quick Controls 2 and VTK for 3D rendering