Enhancing Monte Carlo Dropout Performance for Uncertainty Quantification

Hamzeh Asgharnezhad, Afshar Shamsi, Roohallah Alizadehsani +2

Knowing the uncertainty associated with the output of a deep neural network is of paramount importance in making trustworthy decisions, particularly in high-stakes fields like medi…