Predicting intubation support requirement of patients using Chest X-ray with Deep Representation Learning
October 28, 2020 Β· Entered Twilight Β· π arXiv.org
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Repo contents: .gitignore, LICENSE, README.md, _config.yml, checkpoints, images, nbs, src
Authors
Aniket Maurya
arXiv ID
2011.01787
Category
eess.IV: Image & Video Processing
Cross-listed
cs.CV,
cs.LG
Citations
1
Venue
arXiv.org
Repository
https://github.com/aniketmaurya/covid-research
β 8
Last Checked
2 months ago
Abstract
Recent developments in medical imaging with Deep Learning presents evidence of automated diagnosis and prognosis. It can also be a complement to currently available diagnosis methods. Deep Learning can be leveraged for diagnosis, severity prediction, intubation support prediction and many similar tasks. We present prediction of intubation support requirement for patients from the Chest X-ray using Deep representation learning. We release our source code publicly at https://github.com/aniketmaurya/covid-research.
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