Abstract: A multi-layered knowledge base system and a processing method thereof are provided. In the system, semantic space learning of converting learning data into a semantic vector, which is a vector of semantic space, by learning a transformation function based on a plurality of learning data is performed. Then, relational knowledge learning of acquiring a relation between the semantic vectors by learning a relation function based on the semantic vectors obtained by the semantic space learning is performed. The acquired relation is converted into graph knowledge. The graph knowledge uses the relation as an edge and the semantic vector corresponding to the relation as a node.

Abstract: An apparatus and method for providing additional information for region of interest. The apparatus includes a region of interest extractor configured to extract regions of interest from a first medical image and at least one second medical image, a region of interest merger configured to merge a region of interest of the at least one second medical image into the first medical image, an additional information determiner configured to determine additional information required for each region of interest, and an additional information provider configured to provide the determined additional information for the each region of interest.

Abstract: An apparatus and method for providing additional information for region of interest. The apparatus includes a region of interest extractor configured to extract regions of interest from a first medical image and at least one second medical image,a region of interest merger configured to merge a region of interest of the at least one second medical image into the first medical image, an additional information determiner configured to determine additional information required for each region of interest, and an additional information provider configured to provide the determined additional information for the each region of interest.

Abstract: An apparatus and method for providing additional information for region of interest. The apparatus includes a region of interest extractor configured to extract regions of interest from a first medical image and at least one second medical image, a region of interest merger configured to merge a region of interest of the at least one second medical image into the first medical image, an additional information determiner configured to determine additional information required for each region of interest, and an additional information provider configured to provide the determined additional information for the each region of interest.

Abstract: An apparatus and method thereof include an observation map generator configured to generate a three-dimensional (3D) observation map based on display frequency and/or display duration of a cross-sectional image of a 3D volume image, wherein the 3D observation map three-dimensionally represents degrees of interest for each voxel of the 3D volume image. The apparatus also includes a region of interest marker configured to mark a region of interest.

Abstract: An apparatus and method for providing additional information for region of interest. The apparatus includes a region of interest extractor configured to extract regions of interest from a first medical image and at least one second medical image, a region of interest merger configured to merge a region of interest of the at least one second medical image into the first medical image, an additional information determiner configured to determine additional information required for each region of interest, and an additional information provider configured to provide the determined additional information for the each region of interest.

Abstract: An apparatus and method thereof include an observation map generator configured to generate a three-dimensional (3D) observation map based on display frequency and/or display duration of a cross-sectional image of a 3D volume image, wherein the 3D observation map three-dimensionally represents degrees of interest for each voxel of the 3D volume image. The apparatus also includes a region of interest marker configured to mark a region of interest.

Abstract: A method and apparatus for analyzing information about a gene network in which genes included in a genome of an individual are classified into a plurality of subgroups based on functional correlations between the genes is acquired, and subgroups corresponding to an action of at least one drug to be used are visualized.