Semi-Supervised Learning in Medical Images Through Graph-Embedded Random Forest

One major challenge in medical imaging analysis is the lack of label and annotation which usually requires medical knowledge and training. This issue is particularly serious in the brain image analysis such as the analysis of retinal vasculature, which directly reflects the vascular condition of Cen...

Descripción completa

Detalles Bibliográficos
Autores principales: Gu, Lin, Zhang, Xiaowei, You, Shaodi, Zhao, Shen, Liu, Zhenzhong, Harada, Tatsuya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7683389/
https://www.ncbi.nlm.nih.gov/pubmed/33240071
http://dx.doi.org/10.3389/fninf.2020.601829

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7683389/
https://www.ncbi.nlm.nih.gov/pubmed/33240071
http://dx.doi.org/10.3389/fninf.2020.601829

Ejemplares similares