Abstract: A method for manufacturing a phase mask and a lens-less camera module comprises the steps of: obtaining a replica mold on which an inverted phase shift pattern is formed in which a phase shift pattern of a master phase mask spaced apart from an image sensor is inverted; calculating a thickness of a phase mask disposed on the image sensor replacing the master phase mask; arranging a photocurable material for implementing the phase mask on the image sensor to a calculated thickness, placing the replica mold on an upper surface of the photocurable material, and then curing the photocurable material; and removing the replica mold from the top of the phase mask, so that the focal distance change or parallel movement does not occur depending on the position of the phase mask.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Provided is an apparatus and method for detecting a user activity using a mobile terminal. The apparatus includes a sensing data collection unit to collect sensing data, a location determination unit to determine a location of the mobile terminal using the sensed data, and an action determination unit to determine an activity of a user that is using the mobile terminal based on the collected sensing data and the determined location of the mobile terminal.

Abstract: 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.

Abstract: 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.

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: The present disclosure relates to an apparatus for supporting acquisition of an area-of-interest in an ultrasound image. An apparatus for supporting acquisition of an area-of-interest in an ultrasound image according to an aspect of the present disclosure may comprise: at least one processor configured to convert coordinates of one or more areas-of-interest extracted from a first image to coordinates on a 3D model and collect the coordinates on the 3D model of the one or more areas-of-interest; when a second image is acquired, calculate coordinates on the 3D model corresponding to the acquired second image and match the second image onto the 3D model including the coordinates of the collected areas-of-interest; and provide guide information to allow acquisition of the collected areas-of-interest from the second image, using the matching result.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A device includes an authentication unit that issues disposable authentication information to a mobile device which stores a rights object; a receiver that receives a request for remote authentication from an unauthorized device; and a transmitter that transmits a data that approves the remote authentication of the unauthorized device. The data that approves the remote authentication is transmitted to the mobile device via the unauthorized device, a disposable rights object, which is converted from the rights object for a temporary use of content, is transmitted to the unauthorized device according to a result of determining the data, and the mobile device and the unauthorized device are connected via a network.