Computer-Aided Diagnosis of Children with Cerebral Palsy under Deep Learning Convolutional Neural Network Image Segmentation Model Combined with Three-Dimensional Cranial Magnetic Resonance Imaging
In this paper, we analyzed the application value and effect of deep learn-based image segmentation model of convolutional neural network (CNN) algorithm combined with 3D brain magnetic resonance imaging (MRI) in diagnosis of cerebral palsy in children. 3D brain model was segmented based on CNN algor...
Guardado en:
Autores principales: | Rui Yang, Haoran Zuo, Shusheng Han, Xiaoping Zhang, Qian Zhang |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Hindawi Limited
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/5fd8f7624b4e4b1ea56f57ab7e42c22a |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Risk Factors of Restroke in Patients with Lacunar Cerebral Infarction Using Magnetic Resonance Imaging Image Features under Deep Learning Algorithm
por: Chunli Ma, et al.
Publicado: (2021) -
Magnetic Resonance Imaging Segmentation on the Basis of Boundary Tracking Algorithm in Lung Cancer Surgery
por: Chengmin Liu, et al.
Publicado: (2021) -
Tic Disorder of Children Analyzed and Diagnosed by Magnetic Resonance Imaging Features under Convolutional Neural Network
por: Chunxia Wu, et al.
Publicado: (2021) -
Interpretable Diagnosis for Whole-Slide Melanoma Histology Images Using Convolutional Neural Network
por: Peizhen Xie, et al.
Publicado: (2021) -
Magnetic resonance imaging investigation of the bone conduction implant – a pilot study at 1.5 Tesla
por: Fredén Jansson KJ, et al.
Publicado: (2015)