Image diagnosis apparatus using deep learning model and method therefor

An image diagnosis method using a deep learning model, comprising:

• an image input operation of receiving a medical image including tissue of a human body;
• a classification operation of classifying the tissue included in the input medical image as being one of normal and abnormal in terms of the presence of disease using a trained deep learning model using a weighted loss function in which different weights are assigned to a probability distribution of determining that a feature extracted from the input medical image is abnormal even though the feature is normal and a probability distribution of determining that the feature is normal even though the feature is abnormal;
• and
• a result output operation of outputting a result of classification in the classification operation.