Apparatus and method for medical diagnostic

A medical diagnostic apparatus comprising:

• a memory configured to store one or more instructions;
• and
• one or more processors configured to execute the one or more instructions,
• wherein the one or more processors:
• receive a plurality of slide images of a three-dimensional (3D) medical image obtained by capturing an object and clinical data in addition to the plurality of slide images for the object,
• extract one or more slide images including a lesion among the plurality of slide images,
• extract a region of interest (ROI) including the lesion from each of the extracted one or more slide images,
• generate latent space data in which a feature of an image of the extracted ROI is compressed using a pre-trained deep learning-based ROI abstraction model comprising an encoder that is trained using images of a plurality of ROIs including the lesion as training data, and
• generate a diagnostic result for the object from the latent space data and the clinical data using a pre-trained deep learning-based medical diagnostic model,
• wherein the medical diagnostic model is trained using a plurality of pieces of clinical data, a diagnostic result for each of pieces of the clinical data, and output data of the ROI abstraction model as training data.