Abstract: The present specification discloses an image diagnosis apparatus using a deep learning model and a method therefor, wherein tissue included in an input medical image is classified as being one of normal and abnormal for a disease by using the trained deep learning model using a weighted loss function in which different weights are assigned to a probability distribution of determining that a picture extracted from the input medical image is abnormal even though it is normal and a probability distribution of determining that the picture is normal even though it is abnormal.

Abstract: The present specification discloses an image diagnosis apparatus using a deep learning model and a method therefor, wherein tissue included in an input medical image is classified as being one of normal and abnormal for a disease by using the trained deep learning model using a weighted loss function in which different weights are assigned to a probability distribution of determining that a picture extracted from the input medical image is abnormal even though it is normal and a probability distribution of determining that the picture is normal even though it is abnormal.

Abstract: Provided is a method and apparatus for providing search service based on a knowledge structure. The method includes; searching and providing a document corresponding to a query input by a user; generating a knowledge structure corresponding to the document and additionally providing the knowledge structure; when one of a plurality of keywords included in the knowledge structure is selected, additionally searching relevant documents including the keyword; calculating document similarity by comparing and analyzing the knowledge structure of the document and knowledge structures of the relevant documents; and performing a document recommending operation or a document providing operation based on the similarity calculation result.