A medical imaging apparatus comprising: a storage configured to store training data and an optimization coefficient with respect to at least one parameter, the training data being pre-trained data and new training data; at least one processor configured to identify at least one image feature value from an input medical image, and to identify a value of at least one parameter of the medical imaging apparatus, based on the at least one image feature value and the optimization coefficient, by using a neural network processor ; an output interface configured to output a resultant image generated based on the value of the at least one parameter; and an input interface configured to receive a first control input of adjusting the value of the at least one parameter, wherein the at least one parameter indicates a parameter for setting and processing components of medical imaging data, wherein the at least one processor is further configured to estimate the optimization coefficient by the training data and update the optimization coefficient by performing training using the training data and the first control input, and wherein the at least one processor is further configured to manage the training data and the optimization coefficient with respect to a preset feature value, by independently managing the training data according to each of the users and independently manage the optimization coefficient according to each of the users, by allocating first and second work areas for the preset feature value, the first and second work areas being independent from each other, and calculate the optimization coefficient of a first user based on the training data corresponding to the first user. a storage configured to store training data and an optimization coefficient with respect to at least one parameter, the training data being pre-trained data and new training data; at least one processor configured to identify at least one image feature value from an input medical image, and to identify a value of at least one parameter of the medical imaging apparatus, based on the at least one image feature value and the optimization coefficient, by using a neural network processor ; an output interface configured to output a resultant image generated based on the value of the at least one parameter; and an input interface configured to receive a first control input of adjusting the value of the at least one parameter, wherein the at least one parameter indicates a parameter for setting and processing components of medical imaging data, wherein the at least one processor is further configured to estimate the optimization coefficient by the training data and update the optimization coefficient by performing training using the training data and the first control input, and wherein the at least one processor is further configured to manage the training data and the optimization coefficient with respect to a preset feature value, by independently managing the training data according to each of the users and independently manage the optimization coefficient according to each of the users, by allocating first and second work areas for the preset feature value, the first and second work areas being independent from each other, and calculate the optimization coefficient of a first user based on the training data corresponding to the first user. <EOS>