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Apr, 2021
减少深度神经网络在 COVID-19 感染诊断中的风险和不确定性
Reducing Risk and Uncertainty of Deep Neural Networks on Diagnosing COVID-19 Infection
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Krishanu Sarker, Sharbani Pandit, Anupam Sarker, Saeid Belkasim, Shihao Ji
TL;DR
本研究旨在应用不确定性估计方法,以优化COVID-19的计算机诊断技术,并通过与医学专业人士的合作,验证该方法在临床实践中的可行性。
Abstract
Effective and reliable screening of patients via
computer-aided diagnosis
can play a crucial part in the battle against
covid-19
. Most of the existing works focus on developing sophisticated methods yielding high
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