175 Open source projects that are alternatives of or similar to Delira

Deep Learning Toolkit for Medical Image Analysis

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

Deep Reinforcement Learning (DRL) agents applied to medical images

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

Website for NA-MIC Project Weeks

A deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge

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

Pure Rust implementation of the DICOM standard

Cookbook examples for the Insight Toolkit documented with Sphinx

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.

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

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.

DICOM Viewer in Nextcloud

Starviewer, a cross-platform open source medical imaging software

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

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

Official public repository of Gate

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

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

Deep Learning tools for brain medical images

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

Segment Source Distribution

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

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

DLTK Model Zoo

Deep Learning Papers on Medical Image Analysis

Tools for MRI mouse brain morphometry

SegAN: Semantic Segmentation with Adversarial Learning

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

Tools for tissue image stain normalisation and augmentation in Python 3

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

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

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

RadIO is a library for data science research of computed tomography imaging

ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

Deep Learning for Automatic Pneumonia Detection, RSNA challenge

Open solution to the Data Science Bowl 2018

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

Awesome GAN for Medical Imaging

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

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

A list of Medical imaging datasets.

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

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

Javascript implementation of DICOM manipulation

Slicer extensions index

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

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.

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

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

MNE-CPP: A Framework for Electrophysiology

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

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

OSS Implementation of DICOMweb standard

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

Neural networks toolbox focused on medical image analysis

Visvis - the object oriented approach to visualization

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"

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