Label Cleaning Multiple Instance Learning: Refining Coarse Annotations on Single Whole-Slide Images

Annotating cancerous regions in whole-slide images (WSIs) of pathology samples plays a critical role in clinical diagnosis, biomedical research, and machine learning algorithms development. However, generating exhaustive and accurate annotations is labor-intensive, challenging, and costly. Drawing o...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Zhenzhen, Saoud, Carla, Wangsiricharoen, Sintawat, James, Aaron W., Popel, Aleksander S., Sulam, Jeremias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825360/
https://www.ncbi.nlm.nih.gov/pubmed/36037454
http://dx.doi.org/10.1109/TMI.2022.3202759

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825360/
https://www.ncbi.nlm.nih.gov/pubmed/36037454
http://dx.doi.org/10.1109/TMI.2022.3202759

Ejemplares similares