Deep semi-supervised learning for brain tumor classification

BACKGROUND: This paper addresses issues of brain tumor, glioma, classification from four modalities of Magnetic Resonance Image (MRI) scans (i.e., T1 weighted MRI, T1 weighted MRI with contrast-enhanced, T2 weighted MRI and FLAIR). Currently, many available glioma datasets often contain some unlabel...

Descripción completa

Detalles Bibliográficos
Autores principales: Ge, Chenjie, Gu, Irene Yu-Hua, Jakola, Asgeir Store, Yang, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Technical Advance
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7391541/
https://www.ncbi.nlm.nih.gov/pubmed/32727476
http://dx.doi.org/10.1186/s12880-020-00485-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7391541/
https://www.ncbi.nlm.nih.gov/pubmed/32727476
http://dx.doi.org/10.1186/s12880-020-00485-0

Ejemplares similares