Abstract:
An apparatus and a method for Computer Aid Diagnosis (CAD) based on eye movement are provided. The apparatus includes a gaze area detector configured to detect, based on eye movement of a user, a gaze area on a medical image on which a region of interest (ROI) is detected, the gaze area being an area at which the user gazes for a period of time. The apparatus further includes an ROI redetector configured to detect another ROI on the gaze area.
Abstract:
An apparatus for classifying data using a neural network includes an input layer configured to receive input data; an output value to output a plurality of first output values of the input data with respect to each of at least one of all classes, and output only one first output value of the input data with respect to each of a rest of all of the classes; and a boost pooling layer to receive one or more output values output for each class, and output one second output value for each class.
Abstract:
An apparatus for classifying data using a neural network includes an input layer configured to receive input data; an output value to output a plurality of first output values of the input data with respect to each of at least one of all classes, and output only one first output value of the input data with respect to each of a rest of all of the classes; and a boost pooling layer to receive one or more output values output for each class, and output one second output value for each class.
Abstract:
A method and an apparatus are described to classify data. The method and apparatus includes selecting a hypothesis class among entire classes. The method and corresponding apparatus generate output data with regard to the entire classes by applying a classification algorithm to input data, and modify the input data to increase a value of the hypothesis class among the output data in response to a re-classification condition being met. The modified input data is set to be new input data.