Abstract: The present disclosure provides a method for training a neural network that extracts a feature of an image by using data related to a difference between image, and an apparatus using the same. A neural network training method performed by a computing device according to an exemplary embodiment of the present disclosure includes: acquiring a reference image photographed with a first setting with respect to an object and a first comparison image photographed with a second setting with respect to the object; acquiring feature data of the reference image from a first neural network trained by using the reference image; acquiring feature data of a first extract image from a second neural network, wherein the second neural network is trained by using the first extract image formed from data related to a difference between the reference image and the first comparison image; and training a third neural network by using the feature data of the reference image and the feature data of the first extracted image.

Abstract: The present invention relates to a classification apparatus for pathologic diagnosis of a medical image and a pathologic diagnosis system using the same. According to the present invention, there is provided a classification apparatus for pathologic diagnosis of a medical image, including: a feature extraction unit configured to extract feature data for an input image using a feature extraction variable; a feature vector transformation unit configured to transform the extracted feature data into a feature vector using a vector transform variable; and a vector classification unit configured to classify the feature vector using a classification variable, and to output the results of the classification of pathologic diagnosis for the input image; wherein the feature extraction unit, the feature vector transformation unit and the vector classification unit are trained based on a first tagged image, a second tagged image, and an image having no tag information.

Abstract: The present invention relates to a classification apparatus for pathologic diagnosis of a medical image and a pathologic diagnosis system using the same. According to the present invention, there is provided a classification apparatus for pathologic diagnosis of a medical image, including: a feature extraction unit configured to extract feature data for an input image using a feature extraction variable; a feature vector transformation unit configured to transform the extracted feature data into a feature vector using a vector transform variable; and a vector classification unit configured to classify the feature vector using a classification variable, and to output the results of the classification of pathologic diagnosis for the input image; wherein the feature extraction unit, the feature vector transformation unit and the vector classification unit are trained based on a first tagged image, a second tagged image, and an image having no tag information.

Abstract: The present invention relates to a cloud-based pathological analysis system and method. The present invention provides a cloud-based pathological analysis system, including: a client device coupled to a microscope, and configured to acquire an image for a tissue sample via the microscope and generate a sample image; and a cloud server coupled to the client device over a network, and configured to receive sample image data from the client device over the network and store the sample image data; wherein the cloud server analyzes the received sample image data, and transmits analysis information to the client device.

Abstract: A visual product searching apparatus includes a product area determining part, a visual word generating part and a product searching part. The product area determining part extracts a product area in an input image. The visual word generating part generates a visual word reflecting human visual cognitive characteristics based on the product area. The product searching part searches a product using the visual word.

Abstract: Provided is a photographing apparatus for investigating a state of an outcrop. The photographing apparatus according to the present invention includes: a photographing unit photographing moving pictures or pictures; and a plurality of laser pointers outputting laser beams toward the outcrops photographed by the photographing unit to form laser points on the outcrops, wherein each laser point is disposed so that the laser beams output therefrom are output in parallel with laser beams output from other laser pointers.

Abstract: Provided is a photographing apparatus for investigating a state of an outcrop. The photographing apparatus according to the present invention includes: a photographing unit photographing moving pictures or pictures; and a plurality of laser pointers outputting laser beams toward the outcrops photographed by the photographing unit to form laser points on the outcrops, wherein each laser point is disposed so that the laser beams output therefrom are output in parallel with laser beams output from other laser pointers.

Abstract: Provided is a boomer that is a type of a seismic source generator for marine seismic survey. In the boomer for marine seismic survey according to the exemplary embodiment of the present invention, a plurality of transducer coupling parts capable of separating and coupling a transducer are disposed on a bottom of a board floating on a surface of water, the transducer coupling parts are disposed along a straight line L forming left and right center of gravity of the board, and a transducer coupling member for mounting a transducer is provided. Further, the support is mounted on the bottom of the board, the transducer coupling part is disposed on the support, and the support is formed to control a distance from a bottom point of the board to the transducer coupling part.