Impact of the training loss in deep learning–based CT reconstruction of bone microarchitecture

Purpose Computed tomography (CT) is a technique of choice to image bone structure at different scales. Methods to enhance the quality of degraded reconstructions obtained from low‐dose CT data have shown impressive results recently, especially in the realm of supervised deep learning. As the choice...

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Bibliographic Details
Published in:Medical physics (Lancaster) 2022-05, Vol.49 (5), p.2952-2964
Main Authors: Leuliet, Théo, Maxim, Voichiţa, Peyrin, Françoise, Sixou, Bruno
Format: Article
Language:English
Subjects:
Artificial Intelligence
Bioengineering
Bone and Bones - diagnostic imaging
Bone Density
bone structure
Computer Science
Deep Learning
Engineering Sciences
Image Processing, Computer-Assisted - methods
Imaging
Life Sciences
low‐dose micro‐CT
Neural Networks, Computer
Signal and Image processing
tomographic reconstruction
Tomography, X-Ray Computed
training loss
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