Samsung Electronics Co., Ltd.

Korea Advanced Institute of Science and Technology

Do-kwan Oh

Byeong-won Lee

Choong-hwan Choi

Hyun-hwa Oh

Seung-Woo Shin

Jeong-Hwan Kim

Dong-jae Lee

Sang-chul Lee

Cheol-hun Jang

Dae-hyun Ji

Jeong-yong Song

Woo-sup Han

Seong-Tae Kim

Yong-man Ro

Yoon-suk Hyun

Won-ju Lee

Min-cheol Park

Seong-ho Chang

Young-wan Seo

A method of generating a second neural network model according to an example embodiment includes: inputting unlabeled input data to a first neural network model; obtaining prediction results corresponding to the unlabeled input data based on the first neural network model; and generating a second neural network model based on the prediction results of the first neural network model and a degree of distribution of the prediction results.

Method of outputting prediction result using neural network, method of generating neural network, and apparatus therefor

Provided is a method and apparatus for determining a path of a vehicle. The method includes receiving a radio frequency (RF) signal among RF signals predefined corresponding to other vehicles in front of the vehicle, and determining a path of the vehicle based on the received RF signal.

Method and apparatus for determining path

A road line determination method and apparatus is provided. The method includes: performing detection of two road lines of a lane in which the vehicle is driving from a driving image; determining whether at least one road line of the two road lines is not detected; if it is determined that the at least one road line is not detected, determining at least one road line for the at least one undetected road line based on first information about a drivable road area comprising the road; and controlling driving of the vehicle based on the at least one determined road line.

Method and apparatus for determining road line

An X-ray apparatus performs image processing on an image of an object photographed by using a camera, and uses the image-processed image as an image marker in an X-ray image. A display is configured to display the X-ray image and the image marker on the region of the X-ray image.

X-ray apparatus and system

An X-ray apparatus includes: a source configured to emit X-rays to an object; a detector configured to detect the X-rays that have penetrated the object; an arm configured to connect the source to the detector and move centering on a stand fixed to a bottom; a controller configured to control a movement of the arm so that the controller changes a direction of the X-rays, which are radiated to the object, and the arm rotates on the stand to move the detector in a first direction, to obtain images for a plurality of parts of the object; and an image processor configured to obtain the images for the plurality of parts of the object based on the X-rays detected by the detector.

X-ray apparatus and method of capturing X-ray image

A method of and apparatus for changing lesion classification data, the method including determining whether at least one mass is included in an image of an object, determining whether the at least one mass corresponds to a lesion by using first data including at least one first information, selecting a false negative (FN) mass which has been determined as not corresponding to the lesion among the at least one mass, based on a first input, and changing the first data to second data by using second information of the selected FN mass.

Lesion classification apparatus, and method of modifying lesion classification data

An X-ray apparatus includes: a source for emitting X-rays to an object; a detector for detecting the X-rays penetrating the object; an arm for connecting the source to the detector and moving the detector up and down according to a rotation of the source; and a controller for controlling an imaging of the object by driving the arm.

X-ray apparatus and method of obtaining X-ray image

Growing community of inventors

Suwon-si, South Korea

Do-kwan Oh