Abstract:
An apparatus and a method for Computer Aided Diagnosis (CAD) and an apparatus for controlling an ultrasonic transmission pattern of a probe, are provided. The apparatus for controlling the ultrasonic transmission pattern is configured to transmit ultrasonic signals to an object in directions, and receive ultrasonic echo signals in response to the ultrasonic signals being reflected from the object. The apparatus for controlling the ultrasonic transmission pattern includes a determiner configured to determine, based on pressure that is applied on the probe, a number of transmission directions in which the ultrasonic signals are to be transmitted, and determine the transmission directions in which the ultrasonic signals are to be transmitted, based on the determined number of the transmission directions. The apparatus further includes an energy controller configured to control energy of each of the ultrasonic signals based on the determined number of the transmission directions.
Abstract:
A nickname management apparatus includes a speech agent configured to recognize a speech of a user to obtain nickname information of a device, and a nickname manager configured to determine a device corresponding to the nickname information from one or more devices on a network, and register the named device based on the determination.
Abstract:
Provided are a method and an apparatus for speech recognition, and a method and an apparatus for training transformation parameter. A speech recognition apparatus includes an acoustic score calculator configured to use an acoustic model to calculate an acoustic score of a speech input, an acoustic score transformer configured to transform the calculated acoustic score into an acoustic score corresponding to standard pronunciation by using a transformation parameter, and a decoder configured to decode the transformed acoustic score to output a recognition result of the speech input.
Abstract:
An apparatus and method of training a convolutional neural network (CNN) are provided. A method of training a CNN including a plurality of convolution layers stored in a memory involves approximating, using a processor, a convolution layer among the plurality of convolution layers using a low-rank approximation; reducing the number of output reconstruction filters of the approximated convolution layer; and modifying a structure of the CNN based on an approximation result and the reduced number of output reconstruction filters.
Abstract:
An apparatus and a method for supporting Computer-Aided Diagnosis (CAD) are provided. The apparatus includes a cause analyzer configured to analyze a cause of a reliability of a diagnosis result of a medical image being lower than a level, the medical image being captured using a probe, and a guide information generator configured to generate guide information of an operation of the probe based on the analyzed cause.
Abstract:
Disclosed are an image sampling apparatus and method. The image sampling apparatus includes a probe angular velocity detector configured to detect an angular velocity of a probe representing a change in an angle of the probe at a surface of an object, an image segmenter configured to receive the angular velocity and an image captured by the probe, and to segment the image into sub-regions based on the angular velocity, and a differential sampler configured to sample the sub-regions with a different sampling rate based on a position of a sub-region.