Deep Image Prior for medical image denoising, a study about parameter initialization

Deep Image Prior for medical image denoising, a study about parameter initialization

Convolutional Neural Networks are widely known and used architectures in image processing contexts, in particular for medical images. These Deep Learning techniques, known for their ability to extract high-level features, almost always require a labeled dataset, a process that can be computationally...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Davide Sapienza, Giorgia Franchini, Elena Govi, Marko Bertogna, Marco Prato
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: Frontiers Media S.A. 2022-10-01
Sarja:Frontiers in Applied Mathematics and Statistics
Aiheet:
Deep Image Prior
initialization
Computer Tomography
image reconstruction
Deep Learning robustness
Convolutional Neural Networks
Linkit:https://www.frontiersin.org/articles/10.3389/fams.2022.995225/full

Internet

https://www.frontiersin.org/articles/10.3389/fams.2022.995225/full

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