Deep Learning-Based Detection of Malformed Optic Chiasms From MRI Images

Convolutional neural network (CNN) models are of great promise to aid the segmentation and analysis of brain structures. Here, we tested whether CNN trained to segment normal optic chiasms from the T1w magnetic resonance imaging (MRI) image can be also applied to abnormal chiasms, specifically with...

Descripción completa

Detalles Bibliográficos
Autores principales: Puzniak, Robert J., Prabhakaran, Gokulraj T., Hoffmann, Michael B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8573410/
https://www.ncbi.nlm.nih.gov/pubmed/34759795
http://dx.doi.org/10.3389/fnins.2021.755785

Ejemplares similares