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2020-prenatal-sono

2020-prenatal-vs-segmentation

aiechodx

AIEchoDx, which stands for “Artificial Intelligence Echocardiogram Diagnosis Network”, is a two-stage neural network to diagnose patients with atrial septal defect (ASD), dilated cardiomyopathy (DCM), hypertrophic cardiomyopathy (HCM), prior myocardial infarction (prior MI) from normal controls. It reads 45 frames of echocardiographic videos to make the diagnosis

amazon-blockchain-youtube

amazon-clone-blockchain

annotationweb

A web-based annnotation system for easy annotation of image sequences such as ultrasound and camera recordings

avour

A 3D shopping website.

awesome-ai-cardiology

Awesome resources for artificial intelligence in cardiology

awesome-computer-vision

A curated list of awesome computer vision resources

back2future

Unsupervised Learning of Multi-Frame Optical Flow with Occlusions

best-of-streamlit

🏆 A ranked gallery of awesome streamlit apps built by the community

big-data-spark-models-ai-tensor-flow

1)Artificial neural networks with Tensorflow and Keras 2)ClassifICATION OF images, data, and sentiments using deep learning 3)predictions using linear regression, polynomial regression, and multivariate regression 4)Data Visualization with MatPlotLib and Seaborn 5)Machine learning at massive scale with Apache Spark's MLLib 6)Classification of data using K-Means clustering, Support Vector Machines (SVM), KNN, Decision Trees, Naive Bayes, and PCA 7)Built a movie recommender system using item-based and user-based collaborative filtering 8)Designing and evaluation of A/B tests using T-Tests and P-Values

blood-flow-visualization

Vector Flow Mapping technique can be used to detect the vortices formed in the left ventricle. By tracking the duration of the vortices, one can evaluate the functionality of the heart. (Vortices tend to stay for a longer duration in an abnormal heart).

bpe_project

AI model to categorize BPE on breast MRI

breast-cancer

chexnet-keras

This project is a tool to build CheXNet-like models, written in Keras.

clij2

GPU-accelerated image processing for everyone

colabtools

Python libraries for Google Colaboratory

dce-mri-segmentation

Este Projeto tem como objetivo o uso de abordagens de aprendizado profundo (Deep Learning) para segmentação do tumor em imagens DCE-MRI da mama.

deep-learning-for-road-safety

Bosch Hackathon

deep-patient-cohorts

A tool for automatically labelling discharge summaries into disease categories.

deepheart

Repository for deployment of and infrastructure supporting deep learning networks for segmentation of pediatric heart structures. Our current focus in on the segmentation of heart valves of children with congenital heart disease in collaboration with the MONAI community.

deeptracking

Tracking of solar structures using deep learning

detect-track

Code release for "Detect to Track and Track to Detect", ICCV 2017

dicom

disease-detection-and-diagnostic-image-feature

The official repository for "Revealing unforeseen diagnostic image features with deep learning by detecting cardiovascular diseases from apical four-chamber ultrasounds"

dmd_da_blood_flow

dualprobeultrasound

echo-3d-sample

A PyTorch implementation for training 3D-CNN models for cardiac echocardiography.

echo-mimiciii

Transthoracic echocardiography and mortality in sepsis: analysis of the MIMIC-III database