medical-projects Goto Github PK

deep_learn

deep_learning on medical images

deep_learning_for_medical_resource_allocation_in_a_pandemic

deep_medicine

Landing Page for Medical Professionals interested in improving their medical analysis using Deep learning tools

deepsleepnet

DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

deepsleepnet_implementation_in_keras

deeptract

Official implementation of the paper "DeepTract: A Probabilistic Deep Learning Framework for White Matter Fiber Tractography" (by Benou and Riklin-Raviv): https://arxiv.org/abs/1812.05129. Any use of this code requires a citation of the paper.

deepvesselseg4fp

Deep learning based retinal vessel segmentation for wide-field fundus photography retinal images, IEEE Trans. Medical Imaging, 2020

dehazing-pmhld-patch-map-based-hybrid-learning-dehazenet-for-single-image-haze-removal-tip-2020

This is the source code of PMHLD-Patch-Map-Based-Hybrid-Learning-DehazeNet-for-Single-Image-Haze-Removal which has been accepted by IEEE Transaction on Image Processing 2020.

deidentify

A Python library to de-identify medical records with state-of-the-art NLP methods.

dementia-mockup

demo-auspice-tree

Demonstrates how to embed Auspice tree into React application

densenet

DenseNet implementation in Keras

denseunet_esophagus_segmentation

detection-of-covid-19-from-chest-x-ray-images-using-cnns

The COVID-19 (coronavirus) is an ongoing pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The virus was first identified in mid-December 2019 in the Hubei province of Wuhan, China and by now has spread throughout the planet with more than 75.5 million confirmed cases and more than 1.67 million deaths. With limited number of COVID-19 test kits available in medical facilities, it is important to develop and implement an automatic detection system as an alternative diagnosis option for COVID-19 detection that can used on a commercial scale. Chest X-ray is the first imaging technique that plays an important role in the diagnosis of COVID-19 disease. Computer vision and deep learning techniques can help in determining COVID-19 virus with Chest X-ray Images. Due to the high availability of large-scale annotated image datasets, great success has been achieved using convolutional neural network for image analysis and classification. In this research, we have proposed a deep convolutional neural network trained on five open access datasets with binary output: Normal and Covid. The performance of the model is compared with four pre-trained convolutional neural networkbased models (COVID-Net, ResNet18, ResNet and MobileNet-V2) and it has been seen that the proposed model provides better accuracy on the validation set as compared to the other four pre-trained models. This research work provides promising results which can be further improvise and implement on a commercial scale.

detection_of_cancer_metastases

Medical Imaging | Computer Vision | Deep Learning | Multi-input CNN

detrac_covid19

Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network

developer

OHC Developer Toolkit

devfest-greece-19

A fun and cringy overview of deep learning in medical image and biosignal analytics. In this session we will discuss current trends and how to develop an end-to-end and fully automatic data analysis pipeline.

dfuc2020_snippets

Code snippets provided alongside with a submission to the DFUC 2020.

diabapp

A mobile app to help you track your diabetes

diabetes-diary

A Meteor mobile app to keep track of health data for diabetes patients. [PRE-ALPHA]

diabetes-tracker-mobile-app

dictol

DICTOL - A Dictionary Learning Toolbox in Matlab and Python

dictol_python

A Python implementation of well-known dictionary learning methods.

dictum

dietnet

Diet networks in TensorFlow

dietnet-1

Deep Learning Model to replicate Diet Network results-- Genomic Data and Ancestry Prediction

diffxpy

Differential expression analysis for single-cell RNA-seq data.

diffxpy-setup

Repository to setup the Diffxypy Module on a local server

diffxpy_tutorials

Tutorials for diffxpy.