Samsung Display Co., Ltd.

Jlk Inc.

Samsung Electronics Co., Ltd.

Hyundai Mobis Co., Ltd.

Dongguk University Industry-Academic Cooperation Foundation

Hyundai Dymos Inc.

R.f. Tech Co., Ltd.

Jlk Inspection

Won Tae Kim

Kyung Tae Chae

Sung Hwan Won

Yong Kim

Woo Jae Lee

Dae Ho Lee

Pil Sook Kwon

Hae Kwan Seo

Ji Hye Kim

Tae Woo Lim

Hoon Bae Kim

Hoon Sik Kim

Seon Uk Lee

Han Joon Yoo

Myung Jae Lee

Shin Uk Kang

Jae Hyeon Jeon

You Young Jin

Jae Han Lee

Dong Min Kim

Jin Seong Jang

Seok-Joon Hong

Soo Hyun Moon

Bo Yeon Kim

Yu Jin Kim

Jun Seok Min

Woo Guen Jang

Young Shin Kim

Yeo Geon Yoon

Hee Keun Lee

Yeun Tae Kim

Hae Ju Yun

Myeong Su Kim

Jong Seong Kim

Seung Jin Chu

Sun Kyu Son

Chang Noh Yoon

Whee Won Lee

Sang Il Park

Kyung Bae Kim

Se Hyun Lee

Sun Hwa Lee

Hee-keun Lee

Hong Sick Park

Tae Jin Kong

Nam Seok Roh

Inyoung Lee

Dong-min Kim

Sun-Koo Kang

Ok-Kwon Shin

Chanho Lee

Soo Yeon Kim

Sungdong Cho

Kyoung-min Park

Ji Seong Yang

Don Chan Cho

Ji Yeon Choi

Man Bok Lee

Jang Bog Ju

Ji Ye Lee

Seung-jin Chu

Min Ho Moon

Sun Koo Kang

Yong Sik Hwang

Chang Hyeok Choi

Haeseok Park

Jinkuk Bae

Soo Yong Ryu

Dong Eog Kim

Soo Youn Ryu

Young Il Ban

Ilgeun Jung

Min-Chul Kim

Min-Wook Kwon

Jun-Young Ko

Jung-Hoon Kim

Kyung-Tae Chae

Mi Ae Oh

A cerebrovascular disease learning apparatus may be provided. The cerebrovascular disease learning apparatus may include a maximum intensity projection magnetic resonance angiography (MIP MRA) configuration unit configured to receive 3D time-of-flight magnetic resonance angiography (3D TOF MRA) and to construct MIP MRA including a plurality of image frames, a space characteristic learning unit configured to construct a space characteristic learning model, a frame characteristic learning unit configured to receive the space characteristics and to construct a frame characteristic learning model based on a recurrent neural network (RNN) learning method, and a lesion characteristic learning unit configured to receive the frame characteristics and to construct a lesion characteristic learning model based on the CNN learning method.

Apparatus for learning cerebrovascular disease, apparatus for detecting cerebrovascular disease, mehtod of learning cerebrovascular disease and method of detecting cerebrovascular disease

A display device includes a display including scan lines, data lines, light emission control lines, and pixels connected thereto, a scan driver configured to sequentially provide scan signals to the scan lines, a data driver configured to provide data signals to the data lines, a light emitting driver configured to provide light emission control signals to the light emission control lines based on a light emission clock signal having pulses, and a timing controller configured to provide the light emission clock signal to the light emitting driver, to output the pulses of the light emission clock signal during a frame in a first mode, to mask at least one pulse of the pulses during a first period of the frame in a second mode, and to output at least another pulse of the pulses during a second period after the first period.

Display device

A display device includes: a display panel having: a display area including a plurality of pixels; and a non-display area around the display area and including a pad area; and a chip on film attached to the pad area of the display panel, wherein the chip on film includes the base film, and a data driver on the base film, wherein the chip on film includes a first lead area overlapping the pad area and defining one end of the chip on film, wherein the first lead area includes a first-first bypass lead area, a first-second bypass lead area, a first-third bypass lead area, and a first data lead area, wherein the first data lead area is respectively between the first-first bypass lead area and the first-third bypass lead area, and between the first-second bypass lead area and the first-third bypass lead area.

A display device includes: a display panel including pixels; a housing accommodating the display panel, the housing having a slot at one side surface thereof; a rotating member inside the housing, the rotating member configured for rolling and unrolling the display panel; and a holding member holding the rotating member. The holding member being configured to vary a position of the rotating member inside the housing.

Display device and method of driving display device

A display device may include a display panel which is flexible and includes a first surface on which an image is displayed and a second surface on which the image is not displayed, a connection film at least partially overlapping a side of the display panel in a plan view, a printed circuit board at least partially overlapping a side of the connection film in a plan view and electrically connected to the connection film, a control board spaced apart from the printed circuit board, and a cable electrically connecting the printed circuit board and the control board. The cable may have a spiral shape.

A display device may include: a display panel including pixels; a housing configured to receive the display panel, the housing including a slot at one side surface of the housing; a rotator located in the housing and configured to wind or deploy the display panel; a circuit board located in the rotator, and electrically connected to the pixels; a connector located in the housing, and electrically connected to the circuit board; and a support component configured to support the connector.

A data driving circuit is disclosed that includes an amplifier and an offset control circuit. The amplifier has an offset voltage and is configured to output a data voltage reflecting the offset voltage. The offset control circuit is configured to control, in response to an input control signal, the amplifier to output the data voltage reflecting the offset voltage in a positive direction or a negative direction. The data driving circuit may enhance the display quality of a low grayscale image.

Data driving circuit, display device including the same, and method of driving the same

An apparatus for providing brain lesion information based on an image includes a magnetic resonance angiography (MRA) provider configured to provide an environment capable of displaying 3D time-of-flight magnetic resonance angiography (3D TOF MRA) using user input, a brain lesion input unit configured to generate and manage a brain lesion image, a maximum intensity projection (MIP) converter configured to configure MIP image data including at least one image frame corresponding to a projection position of the brain lesion image, a noise remover configured to remove noise of brain lesion information and to configure corrected MIP image data, from which the noise is removed, and an MRA reconfiguration unit configured to reconfigure a corrected brain lesion image by back-projecting the corrected MIP image data.

Brain lesion information provision device and method

A display device includes: first and second display panels adjacent to each other along one direction, wherein: each of the first and second display panels includes a substrate, and a display portion on the substrate and includes a plurality of pixels including a pixel circuit layer on the substrate, at least one transistor, a display element layer on the pixel circuit layer, and at least one light emitting element emitting light; the substrate of the first display panel and the substrate of the second display panel are engaged with each other in a plan view and a cross-sectional view; the display portion of the first display panel and the display portion of the second display panel are engaged with each other in a plan view and a cross-sectional view; and a boundary between the display portion of the first display panel and the display portion of the second display panel.

Multi-screen display device for reducing a non-display area between display panels, and manufacturing method thereof

An apparatus for evaluating validity of detection of a cancer region may be provided. The apparatus comprises a parametric magnetic resonance imaging (MRI) provider configured to provide at least one MRI constructed based on different parameters, a first cancer region input unit configured to receive a first cancer region based on the at least one parametric MRI, a cancer region processor including a cancer region detection model for receiving the at least one parametric MRI as input and outputting cancer region information and configured to generate and provide guide information corresponding to an image to be analyzed through the cancer region detection model, a second cancer region input unit configured to receive a second cancer region based on the guide information, and a validity evaluator configured to generate validity evaluation information of the second cancer region, by comparing the first cancer region with the second cancer region based on a pathology image obtained by mapping a region, in which cancer is present, of an extracted body portion.

Validity evaluation device for cancer region detection

A display device includes a timing controller configured to generate clock signals, a start signal, and image data. A scan driver includes a plurality of stages configured to sequentially output the clock signals as scan signals in response to the start signal. A data driver configured to generate a data signal based on the image data. A display unit includes pixels configured to emit light with luminance corresponding to the data signal in response to the scan signal. The timing controller is to mask at least one of the clock signals in a first section, a second section, and a third section included in one frame section and spaced from each other.

Display device having one or more driving periods

A deep learning model learning device is proposed, including: a parametric MRI image input part inputting an image corresponding to a diagnosis region, inputting at least one parametric MRI image constructed on the basis of parameters different from each other, and constructing and providing an MRI moving image by using the at least one parametric MRI image; a cancer detection model learning part receiving an input of the at least one parametric MRI image and the MRI moving image corresponding to the diagnosis region, and learning a deep learning model on the basis of information labeling the cancer region; a labeling reference information providing part providing at least one reference information contributing to the labeling of the cancer region; and a labeling processing part checking the cancer region input on the basis of the at least one reference information and processing the labeling of the checked cancer region.

Deep learning model learning device and method for cancer region

A display device includes a folding area, a first unfolding area located on a side of the folding area, and a second unfolding area located on a second side of the folding area. The display device further includes a display module which includes a display panel, and a first circuit board which is attached to the display panel and disposed under the display module, wherein the first circuit board includes a base film, a first driving integrated circuit ('IC') disposed in the first unfolding area, and a second driving IC disposed in the second unfolding area where the first driving IC and the second driving IC do not overlap each other in a thickness direction during folding.

A semiconductor package may include a base, a first chip on the base, and first connection patterns that connect and couple the base and the first chip. The first chip may include a substrate, pad patterns on the substrate, a passivation layer on the substrate and having openings, and pillars on the substrate, the pad patterns include a first signal pad and a second signal pad, the first connection patterns are in contact with the pillars, the pillars include a first signal pillar in contact with the first signal pad and a second signal pillar in contact with the second signal pad, the openings in the passivation layer include a first opening having a sidewall facing a side surface of the first signal pillar and surrounding the side surface of the first signal pillar, and a second opening having a sidewall facing a side surface of the second signal pillar and surrounding the side surface of the second signal pillar, and a maximum width of the second opening is greater than a maximum width of the first opening.

Semiconductor packages

The present disclosure relates to a display device. The display device includes a display panel, data lines, a constant voltage line, a feedback line, and a display driver. The display panel includes pixels. The data lines transfer data voltages to the pixels. The constant voltage line transfers a constant voltage to the pixels. The feedback line is coupled to the constant voltage line. The display driver is configured to sense a change amount of the constant voltage through the feedback line, generate compensated image data by compensating image data according to the sensed change amount of the constant voltage, and provide the data voltages corresponding to the compensated image data to the pixels.

Display device, and method of operating a display device

Growing community of inventors

Yongin-si, South Korea

Won Tae Kim