Rapid Lung Ultrasound COVID-19 Severity Scoring with Resource-Efficient Deep Feature Extraction. (arXiv:2207.10998v1 [eess.IV])

Artificial intelligence-based analysis of lung ultrasound imaging has been
demonstrated as an effective technique for rapid diagnostic decision support
throughout the COVID-19 pandemic. However, such techniques can require days- or
weeks-long training processes and hyper-parameter tuning to develop intelligent
deep learning image analysis models. This work focuses on leveraging
'off-the-shelf' pre-trained models as deep feature extractors for scoring
disease severity with minimal training time. We propose using pre-trained
initializations of existing methods ahead of simple and compact neural networks
to …

arxiv covid covid-19 extraction feature scoring