There are 11 repositories under medical-image-computing topic.
AI Toolkit for Healthcare Imaging
[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
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.
Multi-platform, free open source software for visualization and image computing.
18 MNIST-like Datasets for 2D and 3D Biomedical Image Classification: pip install medmnist
Dicoogle - Open Source PACS
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.
dcmqi (DICOM for Quantitative Imaging) is a free, open source library that can help with the conversion between imaging research formats and the standard DICOM representation for image analysis results
Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk
Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models
A collection of deep learning models with a unified API.
Diffusion MRI analysis and visualization in 3D Slicer open source medical imaging platform.
This repository holds the code framework used in the paper Reg R-CNN: Lesion Detection and Grading under Noisy Labels. It is a fork of MIC-DKFZ/medicaldetectiontoolkit with regression capabilites.
Code for analyzing medical images saved as .dicom files
Slicer extensions index
PyTorch implementation of Grouped SSD (GSSD) and GSSD++ for focal liver lesion detection from multi-phase CT images (MICCAI 2018, IEEE TETCI 2021)
Code for Paper: Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification
Constrained Large Deformation Diffeomorphic Image Registration (CLAIRE)
Paper notes in deep learning/machine learning and computer vision
A qt-based 3D data visualization tool.
Template to be used as a starting point for creating a custom 3D Slicer application
A jupyter widget for the cornerstone library to make showing flashy images with nice tools easier.
Cancer Detection from Microscopic Images by Fine-tuning Pre-trained Models ("Inception") for new class labels
Unofficial implementation for ScanNet (a fast WSI prediction method) in PyTorch.
Segmentation-based measurements with DICOM import and export of the results.
An extension to 3D Slicer to support quantitative imaging and image-guided interventions research in prostate cancer.
Google Cloud AutoML Vision for Medical Image Classification
Deep Learning Registration for Cardiac Motion Tracking (STACOM-MICCAI 2019)
DMRITool is an open souce toolbox for reconstruction, processing and visualization of diffusion MRI data (DWI, tensor, ODF,EAP, fibers etc.).
Matlab toolbox for polyenergetic quantitative (polyquant) X-ray CT reconstruction with demos.