Cargando…
Design of a Classification Recognition Model for Bone and Muscle Anatomical Imaging Based on Convolutional Neural Network and 3D Magnetic Resonance
In this paper, we use convolutional neural networks to conduct in-depth research and analysis on the classification and recognition of bone and muscle anatomical imaging graphics of 3D magnetic resonance and design corresponding models for practical applications. A series of medical image segmentati...
Autores principales: | Pan, Ting, Yang, Yang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9146807/ https://www.ncbi.nlm.nih.gov/pubmed/35637747 http://dx.doi.org/10.1155/2022/4393154 |
Ejemplares similares
-
Automatic anatomical classification of esophagogastroduodenoscopy images using deep convolutional neural networks
por: Takiyama, Hirotoshi, et al.
Publicado: (2018) -
Automatic anatomical classification of colonoscopic images using deep convolutional neural networks
por: Saito, Hiroaki, et al.
Publicado: (2020) -
Automatic classification of medical image modality and anatomical location using convolutional neural network
por: Chiang, Chen-Hua, et al.
Publicado: (2021) -
Convolutional Neural Networks for Automated Classification of Prostate Multiparametric Magnetic Resonance Imaging Based on Image Quality
por: Cipollari, Stefano, et al.
Publicado: (2021) -
Object and anatomical feature recognition in surgical video images based on a convolutional neural network
por: Bamba, Yoshiko, et al.
Publicado: (2021)