Hierarchical dynamic convolutional neural network for laryngeal disease classification

Laryngeal disease classification is a relatively hard task in medical image processing resulting from its complex structures and varying viewpoints in data collection. Some existing methods try to tackle this task via the convolutional neural network, but they more or less ignore the intrinsic diffi...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Shaoli, Chen, Yingying, Chen, Siying, Zhong, Qionglei, Zhang, Kaiyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9385650/
https://www.ncbi.nlm.nih.gov/pubmed/35978109
http://dx.doi.org/10.1038/s41598-022-18217-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9385650/
https://www.ncbi.nlm.nih.gov/pubmed/35978109
http://dx.doi.org/10.1038/s41598-022-18217-5

Ejemplares similares