Abstract: According to an aspect of the present disclosure, the display device includes: a substrate including a display area and a non-display area adjacent to the display area, a plurality of light emitting diodes disposed in the display area and each including a cathode, a contact electrode disposed in the non-display area, and a plurality of insulating layers disposed on the substrate. At least one of the plurality of insulating layers includes a plurality of protrusions disposed between the substrate and the contact electrode, and the contact electrode is composed of a convex portion overlapping with the plurality of protrusions and a concave portion between the plurality of protrusions. Therefore, according to the present disclosure, the surface area of the contact electrode is increased due to the plurality of protrusions so that a resistance between the contact electrode and the cathode can be reduced.

Abstract: A display device includes a display panel in which a display region and a pad region are defined. The display panel includes a base substrate, pixels disposed on the base substrate and disposed in the display region, a pad disposed on the base substrate, disposed in the pad region, and including a first surface and second surfaces connected to the first surface, and a protective layer which covers the pad and in which an opening exposing a first upper surface portion of the first surface of the pad is defined. A first thickness of a first portion of the protective layer covering a second upper surface portion of the first surface of the pad adjacent to the first upper surface portion of the first surface of the pad may be greater than a second thickness of a second portion of the protective layer covering second surfaces of the pad.

Abstract: The present disclosure relates to a method, an apparatus, and a system for detecting and classifying an ischemic stroke based on a medical image. A medical image based ischemic stroke detecting and type classifying apparatus according to an aspect of the present disclosure includes an acquiring unit which collects images related to a brain of at least one patient; a detecting unit which determines whether the at least one patient is a large vessel occlusion patient, based on the collected image; a determining unit which determines whether a type of the large vessel occlusion is embolism or intracranial atherosclerosis (ICAS), when the at least one patient is a large vessel occlusion patient; and a diagnosing unit which provides treatment direction information which is applied differently according to the determined type of the large vessel occlusion.

Abstract: A display device, including: a display panel including a light emitting element and an encapsulation layer covering the light emitting element; a color conversion panel overlapping the display panel, the color conversion panel including a color conversion element; a column spacer between the display panel and the color conversion panel; a filling layer filling a space between the display panel and the color conversion panel and surrounding the column spacer; and a buffer layer between the column spacer and the encapsulation layer of the display panel, the buffer layer including silicon oxycarbide (SiOxCy).

Abstract: The present disclosure relates to a method, an apparatus, and a system for detecting and classifying an ischemic stroke based on a medical image. A medical image based ischemic stroke detecting and type classifying apparatus according to an aspect of the present disclosure includes an acquiring unit which collects images related to a brain of at least one patient; a detecting unit which determines whether the at least one patient is a large vessel occlusion patient, based on the collected image; a determining unit which determines whether a type of the large vessel occlusion is embolism or intracranial atherosclerosis (ICAS), when the at least one patient is a large vessel occlusion patient; and a diagnosing unit which provides treatment direction information which is applied differently according to the determined type of the large vessel occlusion.

Abstract: A display device, comprising: a display panel including a light emitting element and an encapsulation layer covering the light emitting element; a color conversion panel overlapping the display panel, the color conversion panel including a color conversion element; a column spacer between the display panel and the color conversion panel; a filling layer filling a space between the display panel and the color conversion panel and surrounding the column spacer; and a buffer layer between the column spacer and the encapsulation layer of the display panel, the buffer layer including silicon oxycarbide (SiOxCy).

Abstract: Provided is a stroke diagnosis apparatus based on AI that includes: an image obtainer obtaining a non-contrast CT image related to the brain of at least one patient; a preprocessor pre-processing the non-contrast CT image and determining whether the at least one patient is in a non-hemorrhage state or a hemorrhage state on the basis of the pre-processed image; an image processor normalizing the pre-processed image and dividing and extracting an ROI (Region of Interest) using a preset standard mask template; and a determiner determining whether there is a problem with a cerebral large vessel of the at least one patient using the divided and extracted ROI.