Abstract: The optical coherence tomography apparatus is an optical coherence tomography apparatus that obtains a tomographic image of an eye to be examined by using combined light obtained by combining (a) return light from the eye to be examined irradiated with measurement light and (b) reference light, the optical coherence tomography apparatus including an optical path length difference changing unit arranged to change an optical path length difference between the measurement light and the reference light, a driving unit arranged to drive the optical path length difference changing unit, a determining unit configured to determine, using a learned model, a driving amount of the driving unit from the obtained tomographic image, and a controlling unit configured to control the driving unit using the determined driving amount.

Abstract: An information processing apparatus disclosed in the present specification includes: estimation means for estimating a subject's risk of developing a disease using a learned model that has learned a relationship between a feature obtained from a fundus image and a risk of developing the disease, which is evaluated from the feature; and correction means for correcting the estimated risk of developing the disease based on the subject's biological information.

Abstract: An ophthalmic apparatus is provided that includes: an optical head unit; an information obtaining unit that, using a learned model obtained by learning information of a position relating to at least one of an eye to be examined and an optical head unit, obtains information of a position relating to at least one of an eye to be examined and the optical head unit from an image relating to an eye to be examined that is obtained using the optical head unit; and a drive controlling unit that controls driving of at least one of a supporter that supports a face of a subject and the optical head unit; in which, based on the obtained information of the position, the drive controlling unit controls the driving to cause at least one of the eye to be examined and the optical head unit to move to the position.

Abstract: An ophthalmic apparatus includes an inspection unit configured to inspect an eye to be inspected, a driving unit configured to drive the inspection unit, and a control unit configured to start control of the inspection unit and the driving unit based on an inspection protocol in response to a predetermined condition, the inspection protocol defining a series of control procedures for performing a plurality of inspections including an alignment adjustment for aligning the inspection unit with the eye to be inspected, wherein the control unit is configured to display results of the plurality of inspections and display information for accepting an instruction to retry a part of the plurality of inspections on a display unit.

Abstract: An information processing apparatus includes a storage unit configured to store information individually set for each of a plurality of different types of imaging as transmission settings for a plurality of pieces of imaging data obtained by the plurality of different types of imaging, and a transmission unit configured to transmit imaging data on a test subject based on the stored information, the imaging data being obtained by any one of the plurality of different types of imaging.

Abstract: An image processing apparatus includes display control means for displaying, on display means, a blend image obtained by performing blend processing at a variable transmissivity in accordance with an instruction of an operator using an optical coherence tomography (OCT) image and an OCT angiography (OCTA) image of mutually corresponding regions in a subject that are acquired by an OCT, setting means for setting a region of interest in the displayed blend image, and execution means for executing processing on the set region of interest in at least one image of the OCT image and the OCTA image.

Abstract: A medical image processing apparatus includes: an obtaining unit configured to obtain a first image that is a medical image of a predetermined site of a subject; an image quality improving unit configured to generate, from the first image, a second image in which image quality is improved compared to the first image, using an image quality improving engine including a machine learning engine; and a display controlling unit configured to cause a composite image obtained by combining the first image and the second image according to a ratio obtained using information relating to at least a partial region in at least one of the first image and the second image to be displayed on a display unit.

Abstract: An image processing apparatus includes: an obtaining unit configured to obtain a first medical image of an object under examination; an image quality improving unit configured to generate, from the obtained first medical image, a second medical image with image quality higher than image quality of the obtained first medical image using a learned model; a comparing unit configured to compare an analysis result obtained by analyzing the obtained first medical image and an analysis result obtained by analyzing the generated second medical image; and a display controlling unit configured to cause a comparison result obtained by the comparing unit to be displayed on a display unit.

Abstract: An image processing apparatus is provided that includes: an obtaining unit configured to obtain a first medical image of a subject; and an image quality improving unit configured to generate a second medical image with image quality higher than image quality of different regions including a first region and a second region that is different from the first region in the obtained first image, using the obtained first image as input data that is input into a learned model.

Abstract: A medical image processing apparatus includes: an obtaining unit configured to obtain a first image that is a motion contrast en-face image of an eye to be examined; and an image quality improving unit configured to generate a second image with at least one of lower noise and higher contrast than the obtained first image using the obtained first image as input data that is input into an image quality improving engine, wherein the image quality improving engine includes a machine learning engine that has been obtained by using training data including a second image with at least one of lower noise and higher contrast than a first image that is a motion contrast en-face image of an eye to be examined.

Abstract: An image processing apparatus includes: an obtaining unit configured to obtain a first image of an eye to be examined; an image quality improving unit configured to generate a second image with at least one of lower noise and higher contrast than the obtained first image using the obtained first image as an input data of a learned model, wherein the learned model has been obtained by using training data including a second image with at least one of lower noise and higher contrast than a first image of an eye to be examined; and a display controlling unit configured to cause the obtained first image and the generated second image to be switched, juxtaposed or superimposed and displayed on a display unit.

Abstract: A medical image processing apparatus including an obtaining unit configured to obtain a tomographic image of an eye to be examined, and a first processing unit configured to perform first detection processing for detecting at least one layer of a plurality of layers in the obtained tomographic image, by using the obtained tomographic image as an input data of a learned model, wherein the learned model has been obtained by using training data including data indicating at least one layer of a plurality of layers in a tomographic image of an eye to be examined.

Abstract: A medical image processing apparatus includes: an obtaining unit configured to obtain a first image that is a medical image of a predetermined site of a subject; an image quality improving unit configured to generate, from the first image, a second image in which the image quality is improved compared to the first image by using an image quality improving engine that includes a machine learning engine; and a display controlling unit configured to cause a display unit to display a composite image obtained by combining the first image and the second image according to a ratio obtained using information relating to at least a partial region of the first image.

Abstract: To provide pathological support for users to effectively perform follow up on diseases, using polarization information obtained from polarization-sensitive tomographic images. An image processing apparatus includes a positioning unit configured to position multiple polarization-sensitive tomographic images corresponding to multiple tomographic luminance images, based on the plurality of tomographic luminance images obtained by photographing an object at different times; and a comparing unit configured to compare the plurality of polarization-sensitive tomographic images which are positioned.

Abstract: An image processing apparatus includes a tomographic image acquisition unit configured to acquire a polarization-sensitive tomographic image of a subject, and an extraction unit configured to extract, from the polarization-sensitive tomographic image of the subject, a region in which a polarization state is scrambled.

Abstract: A control apparatus includes an irradiation unit configured to irradiate a measurement object with a measuring beam, a restriction unit configured to restrict the measuring beam from being incident on the measurement object and to reflect or scatter the measuring beam, and a polarization control unit configured to control, based on the measuring beam reflected or scattered by the restriction unit, polarization of the measuring beam.

Abstract: An image processing apparatus includes a planar image acquisition unit configured to acquire a planar image of a subject, a tomographic image acquisition unit configured to acquire a tomographic image indicating a polarization state of the subject, and a display control unit configured to cause a display unit to display the planar image and the tomographic image indicating the polarization state side by side.

Abstract: To accurately position multiple tomographic image. An image processing apparatus includes a detecting unit configured to detect motion of an eye in a plurality of polarization-sensitive tomographic images, based on a predetermined region extracted from the plurality of polarization-sensitive tomographic images of the eye, and a positioning unit configured to position a plurality of tomographic luminance images corresponding to the plurality of polarization-sensitive tomographic images, based on the detected movement.

Abstract: To provide pathological support for users to effectively perform follow up on diseases, using polarization information obtained from polarization-sensitive tomographic images. An image processing apparatus includes a positioning unit configured to position multiple polarization-sensitive tomographic images corresponding to multiple tomographic luminance images, based on the plurality of tomographic luminance images obtained by photographing an object at different times; and a comparing unit configured to compare the plurality of polarization-sensitive tomographic images which are positioned.

Abstract: To accurately position multiple tomographic image. An image processing apparatus includes a detecting unit configured to detect motion of an eye in a plurality of polarization-sensitive tomographic images, based on a predetermined region extracted from the plurality of polarization-sensitive tomographic images of the eye, and a positioning unit configured to position a plurality of tomographic luminance images corresponding to the plurality of polarization-sensitive tomographic images, based on the detected movement.