Label Cleaning Multiple Instance Learning: Refining Coarse Annotations on Single Whole-Slide Images
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 only coarse and approximate annotations is a much easier task, less costly, and it …