Machine learning-based modeling of the anode heel effect in x-ray beam Monte Carlo simulations
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Objective: To develop a machine learning-based framework for accurately modeling the anode heel effect in Monte Carlo simulations of X-ray imaging systems, enabling realistic beam intensity profiles with minimal experimental cali... ...
