The present invention relates to a computer-implemented method and a data processing apparatus for providing and applying a trained probabilistic graphical model for verifying and/or improving the consistency of labels within the scope of medical image processing, the use of the model for verifying and/or improving the consistency of labels within the scope of medical image processing, a computer-implemented method for verifying and/or improving the consistency of labels within the scope of medical imaging processing, a data processing apparatus embodied to verify and/or improve the consistency of labels within the scope of medical image processing, and a corresponding computer program product and a computer-readable medium.

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.

In this radiation fluoroscopic imaging apparatus, an image processing unit is configured to generate a first image by performing first image processing that clarifies a blood vessel as an imaging target when capturing a plurality of contrast agent images and generate a plurality of second images used to generate a differential long image by performing second image processing.

A time sequenced series of optical images of a patient is obtained at a rate faster than cardiac frequency, wherein the time sequenced series of images capture one or more physical properties of intrinsic contrast. A cross-correland signal from the patient is obtained. A cross-correlated wavelet transform analysis is applied to the time sequenced series of optical images to yield a spatiotemporal representation of cardiac frequency phenomena The cross-correlated wavelet transform analysis comprises performing a wavelet transform on the time-sequenced series of optical images to obtain a wavelet transformed signal, cross-correlating the wavelet transformed signal with the cross-correland signal to obtain a cross-correlated signal, filtering the cross-correlated signal at cardiac frequency to obtain a filtered signal, and performing an inverse wavelet transform on the filtered signal to obtain a spatiotemporal representation of the time sequenced series of optical images. Images of the cardiac frequency phenomena are generated.

An image processing apparatus includes an image acquirer that acquires a first skin image obtained by capturing an image of a skin at a first timing and a second skin image obtained by capturing an image of the skin at a second timing later than the first timing, an image analyzer that extracts a first discolored area from a first skin image and extracts a color of the skin from the second skin image, an image determiner that determines a cover area within the second skin image based on the first discolored area and determines a color of the cover area based on the color of the skin, and a print controller that generates image data with a content for printing an image of the determined cover area on the sheet by using a coloring material of the determined color.

An image forming apparatus determines an exceptional frame of a plurality of frames of a moving image of an eye based on the image features of each frame, and changes a moving image forming method based on the determined exceptional frame. For example, the image forming apparatus generates a new moving image by extracting a frame sequence including frames extracted from the moving image not to include a frame which has been determined as an exceptional frame.

An analysis apparatus comprises a flow cell which has a flow passage for a liquid containing a tangible component; an image pickupper which picks up images of the liquid flowing through the flow passage; an adjuster which adjusts a relative position of the flow cell with respect to the image pickupper in relation to an optical axis direction of the image pickupper and a direction in which the liquid flows through the flow passage; and a controller which determines an image pickup position of the flow cell in at least one of the optical axis direction and the direction in which the liquid flows, on the basis of a number of pieces of the tangible component in focusing states existing in the images of the liquid picked up by the image pickupper at a plurality of positions at which the relative position differs.

An analysis method and a diagnostic device, enabling one to determine whether a longitudinal melanonychia is caused by a malignant melanoma or a benign nevus by correcting color variation in a dermoscopic image through standardization of color balance without depending on an imaging device or an operator; and a computer program for allowing a computer to function as the diagnostic device. Proposed is a structure including: an image reading step of reading a color image of a longitudinal melanonychia or an affected skin site of a subject as a digital color image; an image processing step involving an image size conversion step of converting the whole size of the digital color image into a preset size through pixel size conversion, and a region of interest (ROI)-extraction step of extracting an ROI required for the diagnosis from the digital color image; a chromatic adaptation transformation step of controlling the color balance of the digital color image data through chromatic adaptation transformation; and a discrimination index (DI) calculation step of determining a DI value using the image after the chromatic adaptation transformation.

A computer-implemented method, including the steps of: receiving video data of a human embryo, the video data representing a sequence of images of the human embryo in chronological order; applying at least one three-dimensional (3D) artificial neural network (ANN) to the video data to determine a viability score for the human embryo, wherein the viability score represents a likelihood that the human embryo will result in a viable embryo or a viable fetus; and outputting the viability score.

A medical image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to obtain feature values related to the shape and a property of the heart. The processing circuitry is configured to estimate, by using the feature values, a state of the heart after a chest is opened. The processing circuitry is configured to estimate, based on a result of the estimation of the state of the heart, a state of the heart after the chest is closed after a treatment is completed. The processing circuitry is configured to output a parameter related to the estimated state of the heart after the chest is closed to a display.