Automatic detection and classification of Covid severity degree in LUS (lung ultrasound) scans

Mor Ventura

Last update: Dec 18, 2021

Related tags

Deep Learning Covid_Classification_LUS

Overview

Final-Project

Final project in the Technion, Biomedical faculty, by Mor Ventura, Dekel Brav & Omri Magen.

Subproject 1: Automatic Detection of LUS Characteristics and Specifically COVID-19 Related LUS Artifacts

Please read Readme.md

Subproject 2: Automatic classification of COVID-19 based on Lung Ultrasound using Deep-Learning

Please read Readme.md

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Owner

Mor Ventura

MSc EE student candidate at Technion, Computer Vision Engineer Intern, Bsc Biomedical Engineering

GitHub

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Automatic detection and classification of Covid severity degree in LUS (lung ultrasound) scans

Related tags

Overview

Final-Project

Subproject 1: Automatic Detection of LUS Characteristics and Specifically COVID-19 Related LUS Artifacts

Subproject 2: Automatic classification of COVID-19 based on Lung Ultrasound using Deep-Learning

You might also like...

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Image Classification - A research on image classification and auto insurance claim prediction, a systematic experiments on modeling techniques and approaches

Deep RGB-D Saliency Detection with Depth-Sensitive Attention and Automatic Multi-Modal Fusion (CVPR'2021, Oral)

Scale-aware Automatic Augmentation for Object Detection (CVPR 2021)

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Owner

Mor Ventura

This is the official Pytorch implementation of "Lung Segmentation from Chest X-rays using Variational Data Imputation", Raghavendra Selvan et al. 2020

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