Abstract: An imaging probe comprises a camera or endoscope with an external detector array, in which the probe is sized and shaped for surgical placement in an eye to image the eye from an interior of the eye during treatment. The imaging probe and a treatment probe can be coupled together with a fastener or contained within a housing. The imaging probe and the treatment probe can be sized and shaped to enter the eye through an incision in the cornea and image one or more of the ciliary body band or the scleral spur. The treatment probe may comprise a treatment optical fiber or a surgical placement device to deliver an implant. A processor coupled to the detector can be configured with instructions to identify a location of one or more of the ciliary body band, the scleral spur, Schwalbe's line, or Schlemm's canal from the image.

Abstract: The present embodiments relate to a large vehicle approach warning device and a method for controlling the same for enabling the driver to cope with the instability of the vehicle due to a cross wind generated by a large vehicle approaching a host vehicle, by outputting an warning message when the driver is not griping the steering wheel in a situation where the vehicle is approaching the host vehicle at a high speed in the rear side.

Abstract: There is provided a moving body risk assessment device including a moving body detection unit that detects presence or movement of a moving body within an imaging range on the basis of image information imaged in a wavelength region different from a visible region, and a risk assessment unit that assesses a risk to the detected moving body from the image information and a result of the moving body detection obtained by the moving body detection unit.

Abstract: A computer-implemented method is provided for improving image quality with shortened acquisition time. The method comprises: determining an accelerated image acquisition scheme for imaging a subject using a medical imaging apparatus; acquiring a medical image of the subject according to the accelerated image acquisition scheme using the medical imaging apparatus; applying a deep network model to the medical image to improve the quality of the medical image; and outputting an improved quality image of the subject, for analysis by a physician.

Abstract: A method for implementing a dynamic three-dimensional lung map view for navigating a probe inside a patient's lungs includes loading a navigation plan into a navigation system, the navigation plan including a planned pathway shown in a 3D model generated from a plurality of CT images, inserting the probe into a patient's airways, registering a sensed location of the probe with the planned pathway, selecting a target in the navigation plan, presenting a view of the 3D model showing the planned pathway and indicating the sensed location of the probe, navigating the probe through the airways of the patient's lungs toward the target, iteratively adjusting the presented view of the 3D model showing the planned pathway based on the sensed location of the probe, and updating the presented view by removing at least a part of an object forming part of the 3D model.

Abstract: Example implementations described herein are directed to a solution to the problem of accurate real-time inventory counting and industrial inspection. The solution, involves a device such as a mobile device that assists a human operator on the field to quickly achieve high quality inspection results. The example implementations detect objects of interest in individual image snapshots and use location and orientation sensors to integrate the snapshots to reconstruct a more accurate virtual representation of the inspection area. This representation can then be reorganized in various ways to derive inventory counts and other information that are not planned originally.

Abstract: There is provided a system for assisting a bone reorientation that includes (or communicates with) localization system components comprising a reference element to mount to the patient's bone and a tracker element to mounting to a bone fragment; and at least one computing unit coupled to the localization system components. The computing unit is configured to: define change in bone fragment orientation data (CBFOD) responsive to tracking measurements received from the localization system components; receive mapping information (e.g. generated from a pre-operative medical image of the patient's bone and bone fragment region) to define a map between the CBFOD and clinical parameters; and calculate and provide for display one or more clinical parameters based on the CBFOD and the map. A tracker element coupling component is also described with quick-connect and adjustment features. Method and other aspects are provided.

Abstract: An ultrasound diagnostic apparatus includes an image memory, an operation unit, a measurement item designation receiving unit for receiving a designation of a measurement item, a detection measurement algorithm setting unit that sets a detection measurement algorithm, a frame designation receiving unit that receives a designation of a frame to be used for the measurement among a plurality of frames in the image memory, a measurement position designation receiving unit that receives a designation of a position of a measurement target on a first measurement frame received by the frame designation receiving unit, a measurement position setting unit that sets the position of the measurement target on a frame other than the first measurement frame, a measurement unit that detects the measurement target on the plurality of frames to calculate the measurement value, and a final measurement value calculation unit that calculates a final measurement value.

Abstract: An apparatus includes an acquisition unit configured to acquire an input image and a reference image, a region enlargement unit configured to perform, on each of the input image and the reference image, a region enlargement process for widening a region including pixels that satisfy a predetermined condition, and a detection unit configured to detect a corresponding point in the reference image subjected to the region enlargement process, the corresponding point corresponding to a pixel of interest in the input image subjected to the region enlargement process.

Abstract: An imaging system includes a light source for emitting visible light and infrared light and a camera head unit configured to capture visible light image data so as to generate a visible light image frame and configured to capture infrared image data so as to generate an infrared image frame. A camera control unit is configured to extract a structural data from the visible light image frame. The camera control unit is further configured to apply the structural data to the infrared image frame so as to enhance the infrared image with structural data.

Abstract: A pre-event connectome of a subject brain is accessed, the pre-event connectome defining i) first functional nodes in the subject brain and ii) first edges that represent connections between the first functional nodes before the subject has undergone an event. A post-event connectome of the subject brain is accessed, the post-event connectome defining i) second functional nodes in the subject brain and ii) second edges that represent connections between the second functional nodes after the subject has undergone the event. A connectome-difference map data is generated that records the difference between the pre-event connectome and the post-event connectome. An action is taken based on the connectome-difference map data.

Abstract: Apparatuses, methods and storage media associated with an environment recognition system using SLAM pipeline with semantic segmentation are described herein. In some instances, the system is mounted on the body of the robotic apparatus, and includes one or more light sources, to illuminate a portion of an environment that surrounds the apparatus; a camera, to capture one or more images of the illuminated portion of the environment; and a processing device coupled with the camera and the light sources, to process the captured images, using semantic segmentation of the images applied in a SLAM pipeline. The processing is used to identify a position of the body of the apparatus, and/or a position of one or more objects disposed in the illuminated portion of the environment, based at least in part on a result of the processing of the one or more images. Other embodiments may be described and claimed.

Abstract: A cloud computing system is described that communicates with a virtual machine to reattach the face of a patient to brain imaging data before the brain imaging data is transmitted for display on a brain navigation system.

Abstract: Technologies for determining the spatial orientation of input imagery to produce a three-dimensional model includes a device having circuitry to obtain two-dimensional images of an anatomical object (e.g., a bone of a human joint), to determine candidate values indicative of translation and rotation of the anatomical object in the two-dimensional images, and to produce, as a function of the obtained two-dimensional images and the candidate values, a candidate three-dimensional model of the anatomical object. The circuitry is also to determine a score indicative of an accuracy of the candidate three-dimensional model, to determine whether the score satisfies a threshold, and to produce, in response to a determination that the score satisfies the threshold, data indicating that the candidate three-dimensional model is an accurate representation of the anatomical object.

Abstract: An image recognition method and a terminal, where the method includes obtaining, by the terminal, an image file including a target object recognizing, by the terminal, the target object based on an image recognition model in the terminal using a neural network computation apparatus in the terminal to obtain object category information of the target object, and storing, by the terminal, the object category information in the image file as first label information of the target object. Hence, image recognition efficiency of the terminal can be improved, and privacy of a terminal user can be effectively protected.

Abstract: A vehicle recognition device includes: an acquisition section acquiring image information based on an image captured by a vehicle-mounted camera; a boundary line detection section detecting, based on the image information, boundary lines on both left and right sides demarcating vehicle traveling lanes; a vehicle detection section detecting position information on an object vehicle; and a recognition section recognizing lane-to-lane movement of the object vehicle between an own lane in which the subject vehicle is traveling and an adjacent lane. The recognition section recognizes the lane-to-lane movement based on a second boundary line of the boundary lines, a lane width between a first boundary line of the boundary lines and the second boundary line, and the position information on the object vehicle, the first boundary line dividing the own lane and the adjacent lane, the second boundary line being different from the first boundary line.

Abstract: An ophthalmologic information processing apparatus includes a reference data setting unit, a first region specifying unit, and a second region specifying unit. The reference data setting unit is configured to set, as first reference data, first fundus data among a plurality of fundus data of a fundus of a subject's eye acquired at different acquisition timings using optical coherence tomography. The first region specifying unit is configured to specify one or more first atrophy regions in the fundus by analyzing the first reference data. The second region specifying unit is configured to specify one or more second atrophy regions by analyzing second fundus data based on the one or more first atrophy regions, the second fundus data being acquired after the acquisition timing of the first reference data among the plurality of fundus data.

Abstract: A method and apparatus for estimating a user's head pose relative to a sensing device. The sensing device detects a face of the user in an image. The sensing device further identifies a plurality of points in the image corresponding to respective features of the detected face. The plurality of points includes at least a first point corresponding to a location of a first facial feature. The sensing device determines a position of the face relative to the sensing device based at least in part on a distance between the first point in the image and one or more of the remaining points. For example, the sensing device may determine a pitch, yaw, distance, or location of the user's face relative to the sensing device.

Abstract: The disclosure provides methods, systems, and computer program products for detecting compounds of interest that are deposited on or associated with objects of interest. The compounds of interest are not limited and include drugs, alcohol, cannabis, narcotics, controlled substances as defined by state, federal, or international law, ammonium-based explosives, MGE-based explosives, toxic compounds, organic compounds, inorganic compounds, nerve agents, or biological compounds. The disclosure increases the speed and efficiency of processing hyperspectral images, especially on low-power or portable devices.

Abstract: An image processing apparatus includes an acquisition unit configured to acquire a captured image obtained by imaging an imaging target using an imaging device, a generation unit configured to generate a display image to be displayed on a display unit, based on the captured image, a control unit configured to cause the display unit to display the display image, a specification unit configured to specify an evaluation area on the display image based on an instruction from a user, and a calculation unit configured to calculate an evaluation value in the evaluation area on the display image. The generation unit executes a filter process on the captured image and generates the display image.