In one aspect, a method to detect white blood cells and/or white blood cell subtypes from non-invasive capillary videos is featured. The method includes acquiring a first plurality of images of a region of interest including one or more capillaries of a predetermined area of a human subject from non-invasive capillary videos captured with an optical device, processing the first plurality of images to determine one or more optical absorption gaps located in said capillary, and annotating the first plurality of images with an indication of any optical absorption gap detected in the first plurality of images. The method also includes acquiring a second plurality of images of the same region of interest of the same capillary with an advanced optical device capable of resolving cellular structure of white blood cells and white blood cell subtypes and spatiotemporally annotating the second plurality of images with an indication of any white blood cell detected and/or a subtype of any white blood cell detected in the second plurality of images. The method also includes inputting the first plurality of images and annotated information from the first plurality of images and annotated information from the spatiotemporally annotated second plurality of images into a machine learning subsystem configured to determine a presence of white blood cells and/or the subtype of any white blood cells present in the one or more optical absorption gaps in the first plurality of images.

A method for processing digital subtraction angiography (DSA) or computed tomography (CT) images for reduced radiation exposure to a DSA or CT subject includes receiving, as input, a plurality of captured DSA or CT image frames of a contrast agent flowing through a volume of interest in a subject. The method further includes fitting a mathematical model to measured contrast agent density of individual voxels of the captured DSA or CT image frames to produce a mathematical model of contrast agent flow across the captured DSA or CT image frames. The method further includes sampling the mathematical model of contrast agent flow for the individual voxels to produce reconstructed DSA or CT image frames. The method further includes outputting at least one of the reconstructed CT or DSA image frames.

An X-ray imaging system using multiple pulsed X-ray sources to perform highly efficient and ultrafast 3D radiography is presented. There are multiple pulsed X-ray sources mounted on a structure in motion to form an array of sources. The multiple X-ray sources move simultaneously relative to an object on a pre-defined arc track at a constant speed as a group. Electron beam inside each individual X-ray tube is deflected by magnetic or electrical field to move focal spot a small distance. When focal spot of an X-ray tube beam has a speed that is equal to group speed but with opposite moving direction, the X-ray source and X-ray flat panel detector are activated through an external exposure control unit so that source tube stay momentarily standstill equivalently. 3D scan can cover much wider sweep angle in much shorter time and image analysis can also be done in real-time.

An artificial intelligence-supported mobile or internet application is disclosed that receives and analyzes image of skin and associated information. Algorithms and learning techniques are applied to generate a treatment plan for the user. The treatment plan is continuously monitored to determine the effectiveness of the treatment. New factors may be identified as variables that impact skin health by using the algorithms and learning techniques disclosed herein.

A remaining time calculation unit calculates, based on a notification waiting time indicating a time from when a feature region is recognized to when a notification of a recognition result of the feature region is started and a count time counted by a time count unit, a remaining time until the notification of the recognition result of the feature region is provided. A display control unit displays on a monitor remaining time notification information obtained based on at least the remaining time.

A dental treatment system has a light irradiation device (2) and an image display (3). The light irradiation device has a polymerization light source (5a) for emitting blue light and a camera (6) for capturing a series of images. The system is set up for generating a first marker (11) and a second marker (20) superimposed with the images and to display the first marker (11) in a fixed positional relationship to an image pattern recognized in a first and in a second image of the series of images and to display the second marker (20) in a fixed positional relationship to an image area underlying the images.

An embodiment of the invention relates to a scanning device. The scanning device includes a scanning unit to detect radiation received during a scanning operation on an object. An imaging unit is arranged to reconstruct an image for a location on the object based on the detected radiation. A texture analysis unit receives an indicated area of interest of a medical image and computes at least one texture metric for the area of interest. An image comparison unit receives a plurality of texture metrics for a common area of interest within respective medical images and outputs a change metric indicating a measure of variation over time for the area of interest based on a comparison of the plurality of texture metrics.

A method of measuring vessel cross-sectional area includes imaging the cross-sectional area of the vessel, wherein the imaging includes: a central calibration region of interest (ROI) of the vessel to obtain a true Hounsfield unit (HU); an object ROI that includes a vessel area affected by a partial volume effect to obtain an object HU; a ring ROI that is outside the object ROI to obtain a background HU; and integrating the true HU, the object HU, and the background HU to calculate the cross-sectional area.

An electronic device and method for recognizing a real face are provided. The electronic device includes a face image acquisition device and a processor connected to the face image acquisition device. The face image acquisition device is configured to acquire a plurality of face images of a face at a plurality of focal lengths within a first focal length range. The plurality of face images correspond to a plurality of focus planes respectively. The processor is configured to determine at least one face images with a higher definition out of the plurality of the face images, and form a second focal length range with focal lengths of the at least one face images. The processor is further configured to determine that the face is a real face according to the second focal length range.

An image processing apparatus selects one or a plurality of examinations to which a medical image belongs, determines image processing candidate examinations based on the selected one or plurality of examinations, displays medical images belonging to the determined image processing candidate examinations on a display unit, and executes image processing using, of the displayed medical images, a plurality of medical images selected by a user, wherein, when the one examination is selected, the selected one examination and one or a plurality of examinations obtained by a search based on the selected one examination are determined as the image processing candidate examinations, and when the plurality of examinations are selected, in the determining, the selected plurality of examinations are determined as the image processing candidate examinations.