Accurate auto-labeling of chest X-ray images based on quantitative similarity to an explainable AI model

The inability to accurately, efficiently label large, open-access medical imaging datasets limits the widespread implementation of artificial intelligence models in healthcare. There have been few attempts, however, to automate the annotation of such public databases; one approach, for example, focu...

Descripción completa

Detalles Bibliográficos
Autores principales: Kim, Doyun, Chung, Joowon, Choi, Jongmun, Succi, Marc D., Conklin, John, Longo, Maria Gabriela Figueiro, Ackman, Jeanne B., Little, Brent P., Petranovic, Milena, Kalra, Mannudeep K., Lev, Michael H., Do, Synho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8986787/
https://www.ncbi.nlm.nih.gov/pubmed/35388010
http://dx.doi.org/10.1038/s41467-022-29437-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8986787/
https://www.ncbi.nlm.nih.gov/pubmed/35388010
http://dx.doi.org/10.1038/s41467-022-29437-8

Ejemplares similares