Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Value of Rehabilitation Training for Children with Cerebral Palsy Diagnosed and Analyzed by Computed Tomography Imaging Information Features under Deep Learning
6
Zitationen
6
Autoren
2021
Jahr
Abstract
< 0.05. To sum up, the deep learning model can effectively segment the CP area, which can measure and assist the diagnosis of future clinical cases of children with CP. It can also improve medical efficiency and accurately identify the patient's focus area, which had great application potential in helping to identify the rehabilitation training results of children with CP.
Ähnliche Arbeiten
A survey on deep learning in medical image analysis
2017 · 14.049 Zit.
nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation
2020 · 8.209 Zit.
Calculation of average PSNR differences between RD-curves
2001 · 4.093 Zit.
Magnetic Resonance Classification of Lumbar Intervertebral Disc Degeneration
2001 · 3.946 Zit.
Vertebral fracture assessment using a semiquantitative technique
1993 · 3.637 Zit.