Deep learning from multiple experts improves identification of amyloid neuropathologies

Pathologists can label pathologies differently, making it challenging to yield consistent assessments in the absence of one ground truth. To address this problem, we present a deep learning (DL) approach that draws on a cohort of experts, weighs each contribution, and is robust to noisy labels. We c...

Descripción completa

Detalles Bibliográficos
Autores principales: Wong, Daniel R., Tang, Ziqi, Mew, Nicholas C., Das, Sakshi, Athey, Justin, McAleese, Kirsty E., Kofler, Julia K., Flanagan, Margaret E., Borys, Ewa, White, Charles L., Butte, Atul J., Dugger, Brittany N., Keiser, Michael J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9052651/
https://www.ncbi.nlm.nih.gov/pubmed/35484610
http://dx.doi.org/10.1186/s40478-022-01365-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9052651/
https://www.ncbi.nlm.nih.gov/pubmed/35484610
http://dx.doi.org/10.1186/s40478-022-01365-0

Ejemplares similares