Blar i Brage NIH på emneord "deep learning"
Viser treff 1-3 av 3
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Automatic segmentation of human knee anatomy by a convolutional neural network applying a 3D MRI protocol
(Peer reviewed; Journal article, 2023)Background: To study deep learning segmentation of knee anatomy with 13 anatomical classes by using a magnetic resonance (MR) protocol of four three-dimensional (3D) pulse sequences, and evaluate possible clinical ... -
DL_Track_US: A python package to analyse muscle ultrasonography images
(Peer reviewed; Journal article, 2023)Ultrasonography can be used to assess muscle architectural parameters during static and dynamic conditions. Nevertheless, the analysis of the acquired ultrasonography images presents a major difficulty. Muscle architectural ... -
Using deep learning to generate synthetic B-mode musculoskeletal ultrasound images
(Peer reviewed; Journal article, 2020)Background and objective Deep learning approaches are common in image processing, but often rely on supervised learning, which requires a large volume of training images, usually accompanied by hand-crafted labels. As ...