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3d-medical-imaging-preprocessing-all-you-need

This Repo Will contain the Preprocessing Code for 3D Medical Imaging

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

batchgenerators

A framework for data augmentation for 2D and 3D image classification and segmentation

bronchinet

Airway segmentation from chest CTs using deep Convolutional Neural Networks

classyvision

An end-to-end PyTorch framework for image and video classification

contrastive-covidnet

[IEEE JBHI'20] Contrastive Cross-site Learning with Redesigned Net for COVID-19 CT Classification

covid-19-triage

covid-ct-mask-net

Segmentation and Classification models for COVID CT scans (COVID, pneumonia, normal) based on Mask R-CNN.

covidnet-ct

COVID-Net Open Source Initiative - Models and Data for COVID-19 Detection in Chest CT

ct-net-models

Machine learning models for multi-organ, multi-disease prediction in chest CT volumes. From paper Draelos et al. "Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes."

ct-volume-preprocessing

End-to-end Python CT volume preprocessing pipeline to convert raw DICOMs into clean 3D numpy arrays for ML. From paper Draelos et al. "Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes."

ctorgansegmentation

Morphological organ segmentation for CT scans

dash-sample-apps

Open-source demos hosted on Dash Gallery

deeplearningexamples

Deep Learning Examples

dicom2stl

Python script to extract a STL surface from a DICOM image series.

efficientnet-pytorch-3d

A PyTorch implementation of EfficientNet

f12_midl

Data exploration of medical imaging DL input data, (visual subsetting, data grouping, balancing), + EDA of DL output (what-if, epoch-by epoch performance change) in pure python

fast-reid

SOTA Re-identification Methods and Toolbox

fastmri

A large-scale dataset of both raw MRI measurements and clinical MRI images

fiftyone

The open-source tool for building high-quality datasets and computer vision models

fiftyone-examples

Examples of using FiftyOne

fracnet

[EBioMedicine] Deep-learning-assisted detection and segmentation of rib fractures from CT scans: Development and validation of FracNet

iccv_2021_3d

inf-net

Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images, IEEE TMI 2020 (ESI Highly Cited Paper).

innereye-deeplearning

Medical Imaging Deep Learning library to train and deploy models on Azure Machine Learning and Azure Stack

lunglobesegmentation

Lobe Segmentation

lungmask

Automated lung segmentation in CT

m3d-cam

med3web

Med3Web is a high performance web tool for advanced 2-D and 3-D medical visualizations.