Radiopaedia Helpers

Acronyms

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"AI denoising or artificial intelligence-based denoising is a way to remove or reduce noise from data."

Line 1:12 · 'AI' has no definition. Spell it out if it's unfamiliar to the audience.

"Unlike traditional noise-reduction methods that use mathematical filters, such as the Gaussian blur to reduce noise within the images, AI denoising methods employ machine learning to distinguish noise from the underlying signal, and deep learning models such as convolutional neural networks are particularly effective in image noise reduction ^1-3."

Line 2:139 · 'AI' has no definition. Spell it out if it's unfamiliar to the audience.

"Typical clinical applications of AI denoising are noise reduction in clinical imaging, including X-rays, CT, MR, but also PET and SPECT images ^3-6."

Line 4:37 · 'AI' has no definition. Spell it out if it's unfamiliar to the audience.

"Other key techniques in AI denoising include the following ^1-3:"

Line 7:28 · 'AI' has no definition. Spell it out if it's unfamiliar to the audience.

Accepted Abbreviations

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"Typical clinical applications of AI denoising are noise reduction in clinical imaging, including X-rays, CT, MR, but also PET and SPECT images ^3-6."

Line 4:101 · Check the abbreviation form against the style guide: 'X-ray'.

Oxford Comma

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"generative adversarial networks (GANs): two competing networks, generator and discriminator, employed to generate clean versions of noisy data ^3,6,8"

Line 9:69 · Use the Oxford comma in 'networks, generator and discriminator'.

Links

noise

deep-learning-frameworks

convolutional-neural-network

generative-adversarial-network-1

transformer

autoencoder

supervised-learning-machine-learning

unsupervised-learning-machine-learning

Lint: ai-denoising