Abstract:Background:
Faced with the global threat posed by SARS-CoV-2 (COVID-19), low-dose Computed tomography (LDCT), as the primary diagnostic tool, is often accompanied by high levels of noise. And this can easily interfere with the radiologist's assessment. Convolutional Neural Networks (CNN), as a method of deep learning, have been shown to have excellent effects in image denoising.
Objective:
Modified convolutional neural network algorithm to train the denoising model. Make the model to extract the highlighted … Show more
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