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

Dec 19, 2021 1 min read

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

GitHub

View Github

John was the first writer to have joined pythonawesome.com. He has since then inculcated very effective writing and reviewing culture at pythonawesome which rivals have found impossible to imitate.

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

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

GitHub

John

A telegram bot for generate fake details. Written in python using telethon

Dragmap-meth: Fast and accurate aligner for bisulfite sequencing reads using dragmap

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

GitHub

A telegram bot for generate fake details. Written in python using telethon

Dragmap-meth: Fast and accurate aligner for bisulfite sequencing reads using dragmap

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