Day: April 30, 2026

Generative Radiomics: Scaling Synthetic Data for Model Training

Introduction The rapid advancement of artificial intelligence, particularly in medical imaging and diagnostics, has fueled an increasing demand for robust and reliable models. Traditional data acquisition methods, such as manual annotation and limited image collection, often present significant challenges. These limitations can hinder the development of accurate and generalizable AI systems, particularly when dealing with […]