论文标题
使用胸部X射线检查具有深度表示学习的患者的插管支持要求
Predicting intubation support requirement of patients using Chest X-ray with Deep Representation Learning
论文作者
论文摘要
深度学习的医学成像的最新发展提供了自动诊断和预后的证据。这也可能是当前可用诊断方法的补充。深度学习可以用于诊断，严重性预测，插管支持预测和许多类似的任务。我们提出了使用深层表示学习对胸部X射线患者的插管支持要求的预测。我们在https://github.com/aniketmaurya/covid-research公开发布源代码。
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.
