Developing Image Analysis Methods For Digital Pathology.

Abstract

Digital pathology holds immense promise, driven by quantitative image analysis and AI, yet a 
significant gap exists between published research and practical application. While numerous 
novel image analysis methods emerge, widespread adoption is hindered by software 
unavailability, complexity, and dataset dependence. This disconnect limits the translation of 
promising research into tangible clinical tools.