The present disclosure relates to a computer-implemented method for improving the accuracy of a digital three-dimensional representation of a dental object during scanning, the method comprising the steps of: generating a digital three-dimensional (3D) representation of the dental object based on registration and stitching of a plurality of 3D scan patches; obtaining new 3D scan patches in real-time during scanning; registering said new 3D scan patches to the digital 3D representation during scanning, whereby said scan patches form part of the digital 3D representation; selecting a sub-set of 3D scan patches among the obtained or registered 3D scan patches, wherein said selection is performed during scanning; and re-registering one or more 3D scan patches forming part of the digital 3D representation, wherein said re-registering is based on applying one or more transformations to the selected sub-set of scan patches, whereby the accuracy of a digital 3D representation is improved.

An electronic device and method are disclosed. The device includes a housing, at least one camera, a plurality of microphones configured to detect a direction of a sound source, at least one driver operable to rotate and/or move at least part of the housing, a wireless communication circuit, a processor operatively connected to the camera, the microphones, the driver, and the wireless communication circuit, and a memory. The processor implements the method, including: receiving a user utterance, detect a first direction from which the user utterance originated, control the driver to rotate and/or move towards the first direction, a first image scan for the first direction and analyze the image for a presence of a user, when the user is not detected, rotate and/or move the at least part of the housing in a second direction, and perform a second image scan.

A system for acquiring images of an object includes a stack of layers having a total thickness smaller than 600 μm. The stack of layers includes an image sensor, a source of a radiation (RF), and an angular filter that covers the image sensor and is interposed between the source and the image sensor. The image sensor has an array of photodetectors. The source of the radiation (RF) has a thickness smaller than 400 μm and includes first and second opposite surfaces. The second surface faces a side of the image sensor. A surface density of an energy flux emitted by the source through the first surface is greater than 100 μW/cm.sup.2. The ratio of the surface density of the energy flux emitted by the source through the second surface and the first surface is smaller than 0.4. A transmittance of the source to a portion of the radiation is greater than 15%.

A medical information processing device of an embodiment includes processing circuitry. The processing circuitry is configured to automatically select and execute an application to be executed on a medical image to be processed from among a plurality of applications on the basis of predetermined reference information, compare first information indicating execution conditions for each of the plurality of applications included in the reference information with second information indicating an imaging condition for the medical image, and cause a display to display a list of applications that have not been executed among the plurality of applications and a result of comparison between the first information and the second information.

A device for detection of surface defects on a terminal surface of an optical fiber. The device includes a digital microscope configured to capture an image of a terminal surface; and a mechanism for analyzing the image configured to detect surface defects present on the terminal surface, the analysis mechanism integrating a “U-Net”-type neural network having had its training phase carried out via an enhancer. The enhancer is configured to create training images, intended to train the neural network, based on reference images. The training images are obtained from the reference images by only applying flips, rotations and/or luminosity, contrast, or shade variations to the reference images.

A non-transitory computer-readable storage medium storing a program causing a computer to perform the following, obtaining a radiation moving image in which a chest portion of a subject when the subject breathes is shown; analyzing a dynamic state of the chest portion based on the radiation moving image obtained in the obtaining; and extracting impedance regarding breathing based on an analysis result obtained in the analyzing.

Provided are computer-implemented methods and systems for generating and/or utilizing data analysis algorithm(s) for providing operating instructions, enhancements and/or recommendations to optimize insertion of a medical instrument toward a target in a body of a patient based, inter alia, on data related to an automated medical device and/or to operation thereof.

Provided are computer-implemented methods and systems for generating and/or utilizing model(s) for determining optimized checkpoint locations along a trajectory in an image-guided procedure for inserting a medical instrument to a target in a body of a patient based, inter alia, on data related to an automated medical device and/or to operation thereof.

Systems and methods for determining the calibration of an endoscopic camera consisting in a camera-head equipped with exchangeable, rotatable optics (the rigid endoscope), which is accomplished with no user intervention in the Operating Room by first characterizing the rigid endoscope through a set of parameters Φ and then using this lens descriptor Φ as input in a real-time software that processes the images acquired by an arbitrary camera-head equipped with the rigid endoscope, to provide the calibration of the complete endoscopic camera arrangement at every frame time instant, irrespective of the relative rotation of the lens scope with respect to camera-head or zoom settings. Also disclosed is an image software method that detects if the lens descriptor is not compatible with the rigid endoscope in use to prevent errors and warn the user about faulty situations.

Provided is a technology for extracting an image of a target plane from 2D or 3D image data acquired by a medical imaging apparatus with a small amount of computation and at high speed. A plane of a target plane including a predetermined structure is extracted from image data of a subject. A region of the predetermined structure included in the plane is detected by applying a learning model learned using learning data including a target plane for learning including an image of the structure and a region-of-interest plane for learning obtained by cutting out and enlarging a partial region including the structure in the target plane for learning to a plurality of planes obtained from the image data, and the plane of the target plane is extracted based on the detected region of the predetermined structure.