576 Open source projects that are alternatives of or similar to MONAILabel

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

Medical image segmentation ( Eye vessel segmentation)

Resurces for MRI images processing and deep learning in 3D

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

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

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.

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

Open solution to the Data Science Bowl 2018

Framework for medical image segmentation using deep neural networks

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

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

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

Slicer extensions index

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

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

Prostate MR Image Segmentation 2012

Segment Source Distribution

Awesome GAN for Medical Imaging

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

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

Medical image preprocessing and augmentation toolkit for deep learning

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

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

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

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

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

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

CNN implementation for medical X-Ray image segmentation

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

Skin lesion detection from dermoscopic images using Convolutional Neural Networks

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

Wining solution and its further development for MICCAI 2017 Endoscopic Vision Challenge Angiodysplasia Detection and Localization

🌈 Automatic Color Pop effect on any image inspired by Google Photos

Implementation of Basic Digital Image Processing Tasks in Python / OpenCV

This repository contains the code for our fast polygonal building extraction from overhead images pipeline.

Use segmentation networks to recognize lane lines and vehicles. Infer position and curvature of lane lines relative to self.

[CVPR 2021] Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion. Semi-supervised VOS as well!

A basic framework for pulmonary nodule detection and characterization in CT

A PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network(PyTorch >= 1.4)

Official website of our paper: Applications of Deep Learning in Fundus Images: A Review. Newly-released datasets and recently-published papers will be updated regularly.

Medical image viewer using DWV (DICOM Web Viewer) and Vue.js.

Repository containing code for "U-Net Fixed-Point Quantization for Medical Image Segmentation" paper at MICCAI2019

A Slicer extension that enables user to interact with a Slicer scene using virtual reality.

Neural Network for Dying Hair💈

Attention Gated VNet3D Model for KiTS19——2019 Kidney Tumor Segmentation Challenge

A medical image converter

A python framework accelerating ML based discovery in the medical field by encouraging code reuse. Batteries included :)

WaSR Segmentation Network for Unmanned Surface Vehicles v0.5

AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging (ACL 2019 Demo)

OpenMMLab Model Compression Toolbox and Benchmark.

No description or website provided.

Brain vessel segmentation using 3D convolutional neural networks

Superpixel-based Refinement for Object Proposal Generation (ICPR 2020)

The Combined Anomalous Object Segmentation (CAOS) Benchmark

A tool for running deep learning algorithms for semantic segmentation with satellite imagery

Ultrasound image formation, processing, and analysis. Interfaces built off the ITKUltrasound library.

Codes of paper "Unseen Object Amodal Instance Segmentation via Hierarchical Occlusion Modeling", ICRA 2022

Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network

Dictionary Learning for image processing