Abstract: An electronic device is described which has a memory storing an image for display to a user. The device has a shape recognizer which receives drawing input as a result of the user drawing at a location of the displayed image; and a semantic segmentation component which carries out image analysis of the image to compute one or more object classes of objects depicted at the location. The shape recognizer is configured to recognize the drawing input as being in a computed graphical item class of a plurality of pre-specified graphical item classes by analyzing a shape of the drawing input and by using information about the computed object classes of the one or more objects depicted at the drawing input location in the image. The processor is configured to offer at least one graphical item of the computed graphical item class for input to the electronic device.

Abstract: Systems and methods for image reconstruction are provided. The methods may include obtaining a scout image including a target object, determining a first area and a second area based on the scout image, wherein the second area is located in the first area, obtaining positron emission tomography (PET) data of the first area and first computed tomography (CT) data of the second area, and reconstructing a PET image with respect to the first area based on the PET data and the first CT data.

Abstract: The invention discloses an apparatus (2), a system (1) and a method (100) for characterization of vessels and for vessel modeling. The cross sectional area (A1) of the vessel is derived from pressure measurements (p1, p2) obtained by an instrument (3) from within the vessel. When multiple cross sectional areas (A1, A2) are derived for multiple reference positions (r1, r2) based on pressure measurements (p1, p2, p3) along the vessel, a representation (20, 30) of the vessel can be rendered, without requiring any imaging modality. Furthermore, the effect of the pulsatile blood flow on the elasticity of the vessel walls can be visualized, supporting assessment of a stenosis or an aneurysm formation along the vessel.

Abstract: An image display system transforming LCD panels of mobile devices into being compatible with medical images display standard includes a host display panel, a slave mobile display device and a host computer. The host computer is coupled to the host display panel and the slave mobile display device for executing a process of sharing medical image, wherein the process of sharing medical image includes executing an image capture program to capture a color medical image, performing an image processing process to convert the color medical image into a grayscale medical image, converting the grayscale medical image into an image package, and connecting to the slave mobile display device to transmit the image package to the slave mobile display device.

Abstract: Systems and methods are disclosed for locating a retroreflective object in a digital image and/or identifying a feature of the retroreflective object in the digital image. In certain environmental conditions, e.g. on a sunny day, or when the retroreflective material is damaged or soiled, it may be more challenging to locate the retroreflective object in the digital image and/or to identify a feature of the object in the digital image. The systems and methods disclosed herein may be particularly suited for object location and/or feature identification in situations in which there is a strong source of ambient light (e.g. on a sunny day) and/or when the retroreflective material on the object is damaged or soiled.

Abstract: Systems and methods are provided relating to hierarchical machine learning models to identify an anatomical structure of interest and perform diagnostic procedures for a medical diagnostic imaging system. The systems and methods organize a plurality of models into a hierarchical structure based on anatomical structures. The plurality of models are defined by a machine learning algorithm for diagnostic procedures of one or more of the anatomical structures. The systems and methods receive a medical image, identifying an anatomical structure of interest within the medical image, select at least a first model from the plurality of models based on the anatomical structure of interest, and perform a first diagnostic procedure of the anatomical structure of interest based on the first model.

Abstract: A soil imaging system having a work layer sensor disposed on an agricultural implement to generate an electromagnetic field through a soil area of interest as the agricultural implement traverses a field. A monitor in communication with the work layer sensor is adapted to generate a work layer image of the soil layer of interest based on the generated electromagnetic field. The work layer sensor may also generate a reference image by generating an electromagnetic field through undisturbed soil. The monitor may compare at least one characteristic of the reference image with at least one characteristic of the work layer image to generate a characterized image of the work layer of interest. The monitor may display operator feedback and may effect operational control of the agricultural implement based on the characterized image.

Abstract: Apparatus and methods for analyzing a bodily sample are described. A microscope system acquires one or more microscope images of the bodily sample. A computer processor identifies, in the one or more images, at least one element as being a candidate of a given entity. The computer processor extracts, from the one or more images, at least one candidate-informative feature associated with the candidate of the given entity, and at least one sample-informative feature that is indicative of a characteristic of the bodily sample as a whole. The computer processor processes the candidate-informative feature in combination with the sample-informative feature, and generates an output upon the output device, in response thereto. Other applications are also described.

Abstract: Systems and methods are provided for navigating an autonomous vehicle. In one implementation, a system for navigating a vehicle includes at least one processing device programmed to receive, from an image capture device, a plurality of images associated with an environment of the vehicle, analyze at least one of the plurality of images to identify a navigable region in the environment of the vehicle, identify, based on the at least one of the plurality of images, at least one barrier associated with an edge of the navigable region, and determine a type of the at least one barrier. The at least one processing device is also programmed to determine a navigational path of the vehicle based on the determined type of the at least one barrier, and cause the vehicle to travel on at least a portion of the determined navigational path.

Abstract: A method is for classifying an examination object by way of recordings. In an embodiment, the method includes capturing at least one optical recording of the examination object; determining and quantifying a number of defined characteristics of the examination object based upon an analysis of the optical recordings with the aid of a machine learning method; and affecting the classification of the examination object in respect of a classification criterion, based upon the quantified characteristics with the aid of a machine learning method. Also described are a classification entity and a medical imaging modality.

Abstract: A vehicle exterior environment recognition apparatus includes a three-dimensional object region identifier, a wheel region identifier, and a wheel determiner. The three-dimensional object region identifier is configured to identify a three-dimensional object region out of a screen. The three-dimensional object region includes a three-dimensional object. The wheel region identifier is configured to identify a wheel region out of the three-dimensional object region. The wheel region includes a presumed wheel that seems to correspond to a wheel of a bicycle. The wheel determiner is configured to determine whether or not an area ratio is smaller than a predetermined value. The area ratio is a ratio of area of a segment of the wheel region to area of the wheel region, with a relative distance from the segment to an own vehicle falling within a predetermined range.

Abstract: A technique for reliably locking on a UAV in tracking the UAV by an optical device is provided. The location of a total station (TS) is measured, and location information of a UAV during hovering is obtained from a GPS unit that is mounted on the UAV. On the basis of the location of the TS and the location information of the UAV during hovering, the TS calculates the direction of the UAV as seen from the TS to capture the UAV.

Abstract: Systems and methods for identifying an object and presenting additional information about the identified object are provided. The techniques of the present invention can allow the user to specify modes to help with identifying objects. Furthermore, the additional information can be provided with different levels of detail depending on user selection. Apparatus for presenting a user with a log of the identified objects is also provided. The user can customize the log by, for example, creating a multi-media album.

Abstract: A biomarker of lung condition can conventionally be obtained using a spirometer. A spirometer provides an estimate of the volume of air expelled by the lungs. This is a rather indirect biomarker of the staging of a lung condition, because a reduction in lung volume may only manifest itself at a point where symptoms are well advanced. A lung condition such as Chronic Obstructive Pulmonary Disorder (COPD) is typically not visible on conventional X-ray attenuation images, because the relevant tissue (alveoli-bearing microstructured lung tissue) contains a lot of air. The X-ray dark-field can successfully indicate microstructure, such as lung alveoli. Therefore, imaging the lungs using the dark-field can provide information on the status of COPD.

Abstract: A patient movement correction method for cone-beam computed tomography wherein a set of X-ray projection images of the patient is acquired using the X-ray imaging means. An initial projection geometry estimate describing the spatial positions and orientation of the X-ray source and the X-ray detector during the acquisition of an X-ray projection images is defined. An intermediate CBCT reconstruction using the X-ray projection images and the initial projection geometry estimate is computed. Projection-image-specific corrective geometric transformations are determined for the initial projection geometry estimate and the intermediate CBCT reconstruction.

Abstract: The image processing apparatus includes: a sectional image acquisition unit that acquires a plurality of sectional images in a plurality of sectional directions of a test subject; a primary classification unit that performs a primary classification process of specifying, with respect to each of the plurality of sectional images, the type of a tissue or a lesion to which each pixel of each sectional image belongs; a secondary classification unit that performs a secondary classification process of evaluating results of the primary classification process with respect to each of the plurality of sectional images, with respect to a pixel that is common to the plurality of sectional images, to re-specify the type of a tissue or a lesion to which the pixel that is common to the plurality of sectional images belongs; and a correction unit that corrects a result of the secondary classification process on the basis of an anatomic feature of the tissue or the lesion, or an image feature value thereof.

Abstract: A cell survival rate determining device includes a distribution acquisition unit acquiring a particle size distribution in a solution containing particles including cultured cells; a classification unit classifying the particles into a small particle group and a large particle group using a predetermined threshold in the distribution; a ratio calculation unit calculating the value of a ratio between the number of particles belonging to the small particle group and the number of particles belonging to the large particle group; and a survival rate determination unit determining the survival rate of the cultured cells from the value of the ratio using a pre-acquired relationship between the ratio and cell survival rate.

Abstract: A multi-level state detecting system includes an image capture device for capturing an image of a subject; a site detecting unit for detecting a person in the image; a face recognition unit for detecting a face in the image via a face recognition database; a multi-level state identification unit for determining corresponding state and probability of the subject; a neural network prediction model database storing trained neural network prediction model associated with state classifications, the multi-level state identification unit identifying corresponding state of the subject when the face recognition unit does not detect the face; and a multi-level state updating unit for generating a final state according to a current state and at least one previous state received from the multi-level state identification unit.

Abstract: Systems, devices, and methods for monitoring items in a defined physical area can include a primary camera configured to detect a region of interest within a defined physical area and the coordinates of the region of interest in the defined physical area. A plurality of secondary cameras can positioned throughout a defined physical area. One of the secondary cameras can be selected to capture an image of a region of interest based on the coordinates of the region of interest.

Abstract: Capturing information from an imprinted item comprises a computing device that receives an image of a back side of an imprinted item, the payment instrument comprising information imprinted thereon such that the imprinted information protrudes from a front side of the imprinted item and the imprinted information is indented into the back side of the imprinted item. The computing device extracts sets of characters from the image of the back side of the imprinted item based on the imprinted information indented into the back side of the imprinted item and depicted in the image of the back side of the imprinted item. The computing device applies a first character recognition application to process the sets of characters extracted from the image of the back side of the imprinted item and categorizes each of the sets of characters into one of a plurality of categories relating to the information.