A deep learning model for molecular label transfer that enables cancer cell identification from histopathology images

Deep-learning classification systems have the potential to improve cancer diagnosis. However, development of these computational approaches so far depends on prior pathological annotations and large training datasets. The manual annotation is low-resolution, time-consuming, highly variable and subje...

Descripción completa

Detalles Bibliográficos
Autores principales: Su, Andrew, Lee, HoJoon, Tan, Xiao, Suarez, Carlos J., Andor, Noemi, Nguyen, Quan, Ji, Hanlee P.
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/PMC8891271/
https://www.ncbi.nlm.nih.gov/pubmed/35236916
http://dx.doi.org/10.1038/s41698-022-00252-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8891271/
https://www.ncbi.nlm.nih.gov/pubmed/35236916
http://dx.doi.org/10.1038/s41698-022-00252-0

Ejemplares similares