Neural network medical image system

A medical information processing system comprising:

• a memory configured to store a predetermined program;
• and
• processing circuitry configured, by executing the predetermined program, to
• (a) in a training phase,
• create a neural network by a machine learning,
• wherein the neural network comprises an input layer, an output layer, and an intermediate layer provided between the input layer and the output layer, wherein the intermediate layer includes at least one node having at least one internal parameter, and the internal parameter is determined through the machine learning in the training phase;
• (b) in an interference phase conducted after the training phase,
• acquire input data obtained by imaging an object with a medical image diagnostic apparatus;
• input the input data into the neural network;
• determine a maximum pixel value in the input data,
• normalize the input data by dividing a predetermined value by the maximum pixel value to generate a gain value,
• set the gain value as a control signal,
• apply denoise processing to the input data by adjusting the internal parameter of the neural network in accordance with the control signal.