DIPIEX project focuses on real world experience on Digital Pathology implementation and adoption. Aim is to learn from pioneers of DP in Asia to guide new comers by success stories as well as failures and bottlenecks faced.
Digital Pathology
Committee: Education Committee
Memorial Pathology- Türkiye,
Memorial Healthcare Group
Department of Pathology,
CHA University, CHA Bundang Medical Center,
South Korea
General 3D histopathology can be performed using tissue clearing and light-sheet microscopy imaging. Our project aims to establish a standardized workflow for digital 3D pathology in clinical setting. Our project also includes the clinical investigations and evaluations of this new method.
Digital Pathology
Committee: Scientific Committee
Juntendo University Graduate School of Medicine,
Japan
REG² is a benchmark for generating pathology reports from gigapixel-scale whole slide images (WSIs) while making the diagnostic reasoning process explicit.
REG² asks participants to produce not only reports but structured reasoning aligned with pathologist exploration and reportability decisions. An agenda that connects naturally to agentic AI while addressing the scarcity of rigorous medical reasoning evaluation data.
Technical/Pathology Workflow
Committee: Scientific Committee
Department of Pathology,
Korea University
Korea