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bronchinet

Airway segmentation from chest CTs using deep Convolutional Neural Networks

captk

Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk/

chestimagingplatform

Chest Imaging Platform (CIP)

covid-19-ct-seg-benchmark

A Benchmark for Lung and Infection Segmentation in COVID-19 CT scans

deep-prognosis

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

ev_gcn

Edge-variational Graph Convolutional Networks for Uncertainty-aware Disease Prediction

flywheel

ild-cnn

This is supplementary material for the manuscript: "Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network" M. Anthimopoulos, S. Christodoulidis, L. Ebner, A. Christe and S. Mougiakakou, IEEE Transactions on Medical Imaging (2016)

kinetics-i3d

Convolutional neural network model for video classification trained on the Kinetics dataset.

lung-cancer-detection

Deep learning-based segmentation and classification of lung nodules

lung-cancer-risk-prediction

Lung cancer risk prediction from CT using fine-tuned I3D neural network

lung-segmentation

Lung segmentation for chest X-Ray images

lung-segmentation-2d

Lung fields segmentation on CXR images using convolutional neural networks.

lunglobesegmentation

Lobe Segmentation

lungmask

Automated lung segmentation in CT

lungtumormask

Automatic end-to-end lung tumor segmentation from CT images.

medicalnet

Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

medicalzoopytorch

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

midrc_dictionary

A data dictionary for the Medical Imaging Resource Data Commons (MIDRC).

privategpt

Interact privately with your documents using the power of GPT, 100% privately, no data leaks

simvascular

A comprehensive opensource software package providing a complete pipeline from medical image data segmentation to patient specific blood flow simulation and analysis.

slowfast-networks-pytorch

A PyTorch implementation of "SlowFast Networks for Video Recognition"

smilegan

t-lstm

Time-Aware LSTM

tensorflow-models

Models and examples built with TensorFlow

vnet-tensorflow

Implementation of vnet in tensorflow for medical image segmentation

vnet.pytorch

A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation