Dynamic PET Image Denoising Using Deep Convolutional Neural Networks Without Prior Training Datasets

Dynamic PET Image Denoising Using Deep Convolutional Neural Networks Without Prior Training Datasets

Deep learning has attracted growing interest for application to medical imaging, such as positron emission tomography (PET), due to its excellent performance. Convolutional neural networks (CNNs), a facet of deep learning requires large training-image datasets. This presents a challenge in a clinica...

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Bibliographic Details
Main Authors: Fumio Hashimoto, Hiroyuki Ohba, Kibo Ote, Atsushi Teramoto, Hideo Tsukada
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Convolutional neural networks
deep image prior
deep learning
denoising
dynamic positron emission tomography
Online Access:https://ieeexplore.ieee.org/document/8764327/

Internet

https://ieeexplore.ieee.org/document/8764327/

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