Digital pathology is rapidly evolving, transforming qualitative paradigms to quantitative ones, increasing histological examination objectivity. With a compound annual growth rate of the market over 10%, scanning devices with a higher slide capacity, speed and resolution become available. Not of less importance is software, varying from free basic viewers ending with advanced machine learning algorithms promising (semi) automatic diagnosis. To a significant extent, the advantages of computer-assisted image analysis may first be experienced via open-source solutions. The session provides an overview of existing free WSI-oriented solutions and examples of possible applications in teaching, scientific research, and pathologists’ daily practice.
Pathologist, the founder of Estonian Digital Pathology Association. Co-developer of the first digital-pathology department in Estonia. Co-author of digital pathology solutions for medical and medical technician students in Estonia.