Editorial Computational Pathology

Histopathologists have analyzed tissue sections and diagnosed diseases including cancer primarily by using a microscope. The introduction of high resolution and high throughput digital scanners has enabled digitizing entire glass slides to generate high-resolution whole-slide images (WSI), giving rise to the field of Digital Pathology. The most significant aspect of digital pathology is that it enables image analysis in pathology using machine learning. This field has come to be known as Computational Pathology. A strong focus of computational pathology is on precision medicine, which addresses relevant questions about the clinical outcome of a patient in terms of treatment response, disease recurrence, and survival.