Lg Innotek Co., Ltd.

Samsung Life Public Welfare Foundation

Coupang, Corporation

Yonsei University

Korea University Research and Business Foundation

Sang Won Seo

Jeong Gi Seo

Yong Jun Ko

Wan Gyun Choi

Chul Young Kim

Chil Young Ji

Seung Hwa Kwon

Jung Hun Lee

Young Jin Kim

Chang Hyun Park

Hye Jin Kim

Min Jung Lee

Han Sol Kim

Jun Kyung Seong

So Yeon Son

Mi Seon Lim

Cho Rong Kim

Yoo Jin Yang

Yoo Jeong Jo

Jeong Hun Kim

Changsoo Kim

Duk Lyul Na

Ki Chul Chang

Hyun Kyu Park

Soo Jong Kim

Don Han Jun

Do Han Jun

Sihyeon Kim

The present invention relates to an apparatus for predicting a region-specific cerebral cortical contraction rate on the basis of a CT image. The present invention may comprise: a deep learning step of a deep learning network learning, by selecting and using CT images of a plurality of patients and segmentation information thereof, a correlation between the CT images and the segmentation information; a feature extraction step of extracting, on the basis of each piece of the segmentation information, semantic feature information corresponding to the CT images; a machine learning step of a machine learning model learning, after a plurality of region-specific cerebral cortical contraction rates corresponding to each piece of the semantic feature information are additionally acquired, a correlation between the semantic feature information and the region-specific cerebral cortical contraction rates; a segmentation step of, when an image to be analyzed is input, acquiring segmentation information corresponding to the image to be analyzed, through the deep learning network; and a prediction step of predicting and reporting, after semantic feature information corresponding to the image to be analyzed is extracted on the basis of the segmentation information, a region-specific cerebral cortical contraction rate corresponding to the semantic feature information through the machine learning model.

Method and apparatus for predicting region-specific cerebral cortical contraction rate on basis of CT image

A method of diagnosing Alzheimer's disease using a positron emission tomography-computed tomography (PET-CT) image may include generating a standard brain CT template in a Montreal Neurological Institute (MNI) region based on a CT image calculated from a PET-CT apparatus, calculating a whole cortex volume of interest (VOI) for a plurality of detail regions capable of being used inF-florbetaben (FBB) andF-flutemetamol (FMM) in common within a cortex ROI region in which a deposition of beta amyloid protein is equal to or higher than a given value based on the standard brain CT template, and calculating a centiloid of each of the plurality of detail regions based on an amyloid standardized uptake value ratio (SUVR) of each of the plurality of detail regions.

Method and apparatus for diagnosing Alzheimer's disease using PET-CT image

A method performed by an electronic apparatus to provide information associated with activation of a portable terminal according to various embodiments includes acquiring order information associated with the portable terminal, acquiring information associated with delivery of the portable terminal corresponding to the order information from a server, and, based on the order information and the information associated with the delivery of the portable terminal, providing the information associated with the activation of the portable terminal, and the information associated with the activation comprises information on whether the portable terminal has been shipped out.

Information providing method for providing information regarding terminal activation and electronic device performing the same

A sensor module includes: a flexible printed circuit board; a temperature sensor disposed on the flexible printed circuit board to measure the temperature of a measurement object; a distance sensor disposed on the flexible circuit board adjacent to the temperature sensor to measure the distance to the measurement object; a terminal cover disposed above the temperature sensor and the distance sensor and including a first hole exposing a top surface of the temperature sensor and a second hole exposing a top surface of the distance sensor; and a window disposed in the second hole of the terminal cover.

Sensor module and method for operating same

A biological brain age is calculated by measuring a brain cortex thickness of each region in a brain MRI image of a person to be examined, and comparing the measured brain cortex thickness with normal control group information. A device for calculating the biological brain includes an image information input unit to input an MRI brain image of a person to be examined, a brain age calculation control unit to control a biological brain age calculation operation of the person to be examined based on the MRI brain image, a brain thickness measuring unit to measure a brain cortex thickness of each region in the MRI brain image, and a brain age calculating unit to match the measured brain cortex thickness with a normal range of brain thickness of each age, and calculate a biological brain age of the person to be examined.

Biological brain age calculation device and calculation method therefor

The disclosure provides a MEMS device including: a fixed substrate having a cavity; a driving unit disposed in the cavity and floating above the fixed substrate; and an elastic unit for physically connecting the fixed substrate with the driving unit and varying the height of the driving unit according to a control current, wherein the elastic unit includes a bimorph driving unit connected to the fixed substrate and bent according to the control current, a spring connected to the driving unit, and a frame connecting the bimorph driving unit to the spring. Therefore, in order to overcome the limitations according to the power consumption and the size-reduction due to a coil and a magnet, the MEMS device drives one lens and thus can reduce the power consumption and the size thereof.

MEMS device

A magnetic field sensor package according to an embodiment includes: a package body; a magnetic field sensor disposed on top of the package body and including a sensor assembly in which a displacement is generated by a magnetic field; and a conductive line formed on the package body, which is for making current to be measured flow and generating a magnetic field for displacing the sensor assembly, wherein the conductive line generates a magnetic field applied in a perpendicular direction to the sensor assembly.

Magnetic field sensor package

The disclosure provides a magnetic field sensor for sensing the magnetic field caused by a current to be measured, which includes: substrate; a first drive electrode with a path for flowing a reference current supplied from the substrate arranged so as to be moveable by the magnetic field of the current to be measured; and a second drive electrode with a path for flowing a reference current supplied from the substrate arranged so as to be moveable by the magnetic field of the current to be measured, thus measuring the variation of a capacitance caused by the movement of the first drive electrode and the second drive electrode. Hence, the sensing is achieved by the two drive electrodes with no reference electrode, thus maximizing the mechanical displacement to improve the sensing capability.

MEMS magnetic field sensor

The present invention provides an amplitude modulator, which is disposed in an area through which a magnetic field flows so as to modulate amplitudes, comprising: a substrate; a first driving electrode which receives a first frequency signal and a second frequency signal supplied from the substrate and carries out resonant motion by the magnetic field; and a second driving electrode for receiving the second frequency signal and carries out resonant motion by the first driving electrode and the magnetic field, wherein a modulated signal is generated by modulating the amplitudes of the first and second frequency signals through the resonant motions of the first and second driving electrodes. Therefore, since the signal generated by modulating a carrier signal through mechanical resonance according to the magnetic field is outputted, amplitude modulation can be carried out without a complicated circuit configuration. In addition, since an MEMS device is a single structure that does not include an insulating layer, a single signal is applied to one structure, thereby simplifying driving, and all the driving electrodes of both ends thereof are driven so as to double a change in variable capacitance, thereby improving sensing ability.

MEMS amplitude modulator and MEMS magnetic field sensor including same

Disclosed are a capacitor and a method of fabricating the same. The capacitor includes a first electrode; a second electrode spaced apart from the first electrode while facing the first electrode; a driving member connected to the second electrode to move the second electrode relative to the first electrode; and an insulating connection member between the driving member and the second electrode.

Capacitor and method of fabricating the same

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Seoul, South Korea

Sang Won Seo