Abstract: Disclosed is an apparatus for assisting the reading of a medical image based on a medical artificial neural network, the apparatus including a computing system. An apparatus according to an embodiment of the present invention includes a computing system, and the computing system includes at least one processor. The at least one processor acquires or receives a first analysis result obtained through the inference of a first artificial neural network for a first medical image, generates a first visualization format, which is a representative visualization format of the first medical image, based on the first analysis result, and visualizes the first medical image and the first analysis result based on the first visualization format.

Abstract: Disclosed is a method for measuring a representative value of a duct in vivo, the method including: selecting, by selection unit, at least one duct and sampling measurement sites in each duct; measuring, by creation unit, at least one real cross-section image being sampled to obtain measurement values and creating a measurement cross-section image; in comparing, by comparison-decision unit, the measurement cross-section image with the real cross-section image and evaluating validity of measurement values whether to accept the measurement values as data; and computing, by computation unit, a representative value out of the measurement values accepted as data.

Abstract: A local server system and a method of relaying data in the local server system are disclosed. The local server system includes a database configured to store image data downloaded from a remote server, and a processor configured to request the image data from the remote server and download the image data. The processor requests first image data corresponding to first result data from the remote server. The processor downloads the first image data from the remote server. The processor generates second result data based on the downloaded first image data. The processor provides the second result data to the local client when the local client requests the second result data corresponding to the first image data from the remote server.

Abstract: Disclosed are a computing system and method for displaying medical images. The computing system includes a display, and a processor configured to control image information displayed on the display. The processor includes: a receiving unit configured to receive a medical image of a region of interest (ROI) and to acquire three-dimensional (3D) volume information including segmentation information regarding the ROI of the medical image; a display information generation unit configured to acquire 3D mesh information corresponding to the ROI, and to generate display information in which the 3D mesh information has been overlaid on the 3D volume information in a 3D space including the 3D volume information; and a user interface control unit configured to provide a user menu so that a user can edit the 3D mesh information in the 3D space.

Abstract: A processor and method for accelerating ray casting are disclosed herein. The processor for accelerating ray casting includes a computation unit, a sorting unit, an allocation unit, and an execution control unit. The computation unit calculates the length information of a section in which a ray corresponding to each of the pixels of a two-dimensional (2D) scene corresponding to a viewpoint intersects an effective volume in order to apply ray casting to the pixel. The sorting unit sorts the ray based on the length information of the section in which the ray intersects the effective volume. The allocation unit allocates the sorted rays to respective thread groups having a parallel multiprocessor structure in order of the sorting. The execution control unit transfers control instructions to the allocated thread groups so that the allocated thread groups execute ray casting for the sorted rays.