Samsung Electronics Co., Ltd.

Korea Advanced Institute of Science and Technology

Min-cheol Park

Dong-wook Kim

Woo-sup Han

Seong-Tae Kim

Do-kwan Oh

Yong-man Ro

Byeong-won Lee

Choong-hwan Choi

Seong-ho Chang

Phill-gu Jung

A method of controlling an X-ray image capturing apparatus, including acquiring, using a camera, a first image by photographing a detector configured to receive X-rays emitted from an X-ray emission surface, generating a second image by performing a correction on the first image, wherein the correction includes changing a first detector shape in the first image to match a second detector shape photographed in a direction perpendicular to the X-ray emission surface, and displaying the second image.

X-ray image capturing apparatus and method of controlling the same

Provided is an X-ray apparatus. The X-ray apparatus includes: an X-ray photographing unit configured to acquire first image information by irradiating an X-ray of a first dose to an object; a control unit configured to determine existence/nonexistence of a density abnormality of the object on the basis of the first image information; and an output unit configured to display information about the existence/nonexistence of the density abnormality.

X-ray apparatus and method of controlling X-ray apparatus

A medical imaging apparatus includes an X-ray radiation unit configured to radiate X-rays onto an object and onto a calibration phantom, which does not overlap the object, according to a first irradiating condition for a pre-shot; a detector configured to detect the X-rays having passed through the object and through the calibration phantom; and a controller configured to acquire calibration information by using a pre-shot image acquired from the detected X-rays, and determine a second irradiating condition for main imaging by using the calibration information.

Medical imaging apparatus and control method thereof

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

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Bucheon-si, South Korea

Min-cheol Park