Identification and Diagnosis of Cerebral Stroke through Deep Convolutional Neural Network-Based Multimodal MRI Images

This study aimed to explore the application value of multimodal magnetic resonance imaging (MRI) images based on the deep convolutional neural network (Conv.Net) in the diagnosis of strokes. Specifically, four automatic segmentation algorithms were proposed to segment multimodal MRI images of stroke...

Descripción completa

Detalles Bibliográficos
Autores principales: Pan, Yanyan, Zhang, Huiping, Yang, Jinsuo, Guo, Jing, Yang, Zhiguo, Wang, Jianbing, Song, Ge
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321727/
https://www.ncbi.nlm.nih.gov/pubmed/34381322
http://dx.doi.org/10.1155/2021/7598613

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321727/
https://www.ncbi.nlm.nih.gov/pubmed/34381322
http://dx.doi.org/10.1155/2021/7598613

Ejemplares similares