by Daniel Flender

Abstract

by Thomas De Kerf

In clinical pathology and biomedical research, traditional histological staining, essential for tissue and cellular visualization, is resource-intensive and inaccessible in low-resource settings. Leveraging deep learning, we introduce a transformative approach: virtual staining. This technique enables the digital conversion of a single stained image into multiple stain types, significantly simplifying the staining process. This presentation will highlight the current research into virtual pathology and the potential of this technique.

by

Abstract