Medical data processing method, model generating method, and medical data processing apparatus

A model generating method for generating a trained model configured, on a basis of first spectral data related to an examined subject imaged by a spectral medical imaging apparatus, to generate the second spectral data having less noise than the first spectral data and a higher resolution than the first spectral data, the model generating method comprising:

• generating second training data corresponding to noise and a resolution of the first spectral data, by adding noise to and lowering a resolution of first training data corresponding to the noise and the resolution of the second spectral data;
• and
• generating the trained model by training a convolution neural network while using the first training data and the second training data.

A medical data processing apparatus comprising:

• processing circuitry configured to output second spectral data by inputting first spectral data related to an examined subject imaged by a spectral medical imaging apparatus to a trained model that generates, on a basis of the first spectral data, the second spectral data having less noise than the first spectral data and a higher resolution than the first spectral data, wherein
• the first spectral data corresponds to medical data obtained by performing a spectral scan on the examined subject, and
• the trained model is configured to perform a noise reducing process and a super-resolution process on the first spectral data.