Abstract:
An apparatus and a method for lesion detection are provided. The method of lesion detection involves detecting lesion candidates from a medical image, detecting anatomical objects from the medical image, verifying each of the lesion candidate based on anatomical context information comprising information regarding a location relationship between the lesion candidates and the anatomical objects, and removing one or more false positive lesion candidate from the detected lesion candidates based on a verification result.
Abstract:
An apparatus and method for adaptive computer-aided diagnosis (CAD) are provided. The adaptive CAD apparatus includes an image analysis algorithm selector configured to select an image analysis algorithm based on a speed of a probe or a resolution of a current image frame obtained by the probe; and an image analyzer configured to detect and classify a region of interest (ROI) in the current image frame using the selected image analysis algorithm.
Abstract:
A method of visualizing anatomical elements in a medical includes receiving a medical image; detecting a plurality of anatomical elements from the medical image; verifying a location of each of the plurality of anatomical elements based on anatomical context information including location relationships between the plurality of anatomical elements; adjusting the location relationships between the plurality of anatomical elements; and combining the verified and adjusted information of the plurality of anatomical elements with the medical image.
Abstract:
A method and an apparatus for modifying a contour line of an object are provided. The method involves displaying a contour line of an object on a screen, receiving a plurality of touch points, matching each of the plurality of the received touch points with corresponding contour line points on the contour line, generating touch point movement data by tracing a movement path of each of the plurality of the received touch points, determining a curvature variation of the contour line based on the touch point movement data, and modifying the contour line by moving each of the corresponding contour line points based on the touch point movement data and applying the curvature variation to a section connected between each of the moved corresponding contour line points to generate the section.
Abstract:
There is provided an apparatus for interpolating a lesion area when diagnosis is performed in a Computer Aided Diagnosis (CAD) system using consecutive images. According to an example, the apparatus includes: an image receiver configured to receive images sequentially; an image matcher configured to match a current image with reference images, and to determine whether to interpolate a lesion area in the current image based on a matching result; and a lesion area acquirer configured to interpolate or acquire the lesion area in the current image according to a result of the determination.
Abstract:
Technology related to an apparatus and method for supporting a diagnosis of a lesion is provided. The apparatus includes a standard image determiner to determine, as a standard image, an image where a region of interest (ROI) is detected among a plurality of images received from an image collecting device, a candidate image extractor to extract one or more candidate images with respect to the determined standard image, a comparison image selector to select one or more comparison images for supporting a diagnosis of the ROI from the one or more candidate images, and an interface to provide a user with an output result of the standard image and the one or more selected comparison images.
Abstract:
A Three-Dimensional (3D) Computer-Aided Diagnosis (CAD) apparatus and method. The 3D CAD apparatus includes: a dimension reducer configured to reduce a dimension of a 3D volume data to generate at least one dimension-reduced image, and a diagnosis component configured to detect a lesion in a 3D volume based on the at least one dimension-reduced image and to diagnose the detected lesion.
Abstract translation:三维(3D)计算机辅助诊断(CAD)设备和方法。 3D CAD装置包括:尺寸减小器,被配置为减小3D体积数据的尺寸以生成至少一个尺寸减小的图像;以及诊断部件,被配置为基于至少一个维度图像来检测3D体积中的病变, 减少图像并诊断检测到的病变。