Observing deep radiomics for the classification of glioma grades

Abstract Deep learning is a promising method for medical image analysis because it can automatically acquire meaningful representations from raw data. However, a technical challenge lies in the difficulty of determining which types of internal representation are associated with a specific task, beca...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Kazuma Kobayashi, Mototaka Miyake, Masamichi Takahashi, Ryuji Hamamoto
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
R
Q
Acceso en línea:https://doaj.org/article/7d9ab30c52ab416ebfdf238913536662
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!