Samsung Electronics Co., Ltd.

Seung Chul Chae

Seung Woo Ryu

Jung Hoe Kim

Ha Young Kim

Joo Hyuk Jeon

Hye Jin Kam

Won Sik Kim

Hyo A Kang

Hyun Jin Choi

Ki Yong Lee

Ho Sub Lee

Ye Hoon Kim

Sun Jae Lee

Byung Kon Kang

Kyung Ah Chang

A Computer-Aided Diagnosis (CAD) apparatus and a CAD method are provided. The CAD apparatus includes an automatic diagnoser configured to perform automatic diagnosis using an image that is received from a probe, and generate diagnosis information including results of the automatic diagnosis. The CAD apparatus further includes an information determiner configured to determine diagnosis information to be displayed among the generated diagnosis information, based on a manual diagnosis of a user, and a display configured to display the received image and the determined diagnosis information.

Computer-aided diagnosis apparatus and computer-aided diagnosis method

A computer-aided diagnostic (CAD) apparatus and a CAD method based on the diagnostic intention of a user are provided. The CAD apparatus includes a region of interest (ROI) detector configured to detect an ROI from an image input from a probe, and a probe motion determiner configured to determine a motion of the probe in response to the ROI detector detecting the ROI. The CAD apparatus further includes a diagnostic intention determiner configured to determine a diagnostic intention of a user based on the determined motion of the probe, and a diagnostic intention processor configured to perform a diagnostic procedure based on the determined diagnostic intention of the user.

Computer-aided diagnostic apparatus and method based on diagnostic intention of user

Disclosed are Computer Aided Diagnosis (CAD) apparatus and method to combine information on sequential image frames and to provide a superior classification result for the ROI in the image frame. The CAD apparatus may include a Region of Interest (ROI) detector configured to detect an ROI from image frames, a categorizer configured to create groups of image frames having successive ROI sections from among the image frames based on a result of the detection, a classifier configured to classify an ROI detected from each of the image frames belonging to the groups, and a result combiner configured to combine classification results for the image frames belonging to each group from the groups and to calculate a group result for the each group.

Computer aided diagnosis (CAD) apparatus and method

Computer Aided Diagnosis (CAD) apparatus and method

A user interface using an acoustic signal is provided. A device with the user interface includes a sensor to acquire a surface acoustic signal generated outside of the device, and at least one processor. The processor classifies patterns of the surface acoustic signal by analyzing features of the surface acoustic signal, and identifies a user's input signal corresponding to the surface acoustic signal based on the pattern of the surface acoustic signal.

Method and apparatus for providing user interface using acoustic signal, and device including user interface

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.

Apparatus and method for adaptive computer-aided diagnosis

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Seoul, South Korea

Seung Chul Chae