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: 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: An ophthalmologic apparatus includes an analyzing unit that analyzes a tomographic image, a comparison target selecting unit that selects a statistical information in the closest age-group if an age calculated from a birth date input to a patient information input unit is outside a range of the age-groups of the statistical information, and a comparison unit that compares a result of the analysis performed by the analyzing unit with the statistical information selected by the comparison target selecting unit.

Abstract: A image processing apparatus includes a selection unit configured to select either first color tone conversion processing or second color tone conversion processing having a ratio of red wavelength component set lower than either blue wavelength or green wavelength components with respect to the first color tone conversion processing, and a color tone conversion unit configured to convert a color of a fundus image by the selected color tone conversion processing.

Abstract: An ophthalmologic apparatus includes an analyzing unit that analyzes a tomographic image, a comparison target selecting unit that selects a statistical information in the closest age-group if an age calculated from a birth date input to a patient information input unit is outside a range of the age-groups of the statistical information, and a comparison unit that compares a result of the analysis performed by the analyzing unit with the statistical information selected by the comparison target selecting unit.

Abstract: Provided is an ophthalmologic apparatus including: photographing units for photographing an eye in different modes; a photographing mode switchover unit for switching the photographing units; a photographing light intensity memory unit for storing a photographing light intensity for each photographing mode; a reference light intensity setting unit for setting a reference light intensity serving as a switchover determination reference of the photographing mode; a photographing mode switchover setting unit for setting a switchover operation for each photographing mode and an operation timing at which an operation of the photographing mode is to be executed; and a control unit for controlling such that, when the photographing light intensity is equal to or higher than the reference light intensity at a predetermined operation timing, the photographing mode switchover setting unit switches the photographing mode to a photographing mode used for the photographing light intensity less than the reference light inten

Abstract: A image processing apparatus includes a selection unit configured to select either first color tone conversion processing or second color tone conversion processing having a ratio of red wavelength component set lower than either blue wavelength or green wavelength components with respect to the first color tone conversion processing, and a color tone conversion unit configured to convert a color of a fundus image by the selected color tone conversion processing.

Abstract: Upon detecting a selection of an examination start button, a start and completion management unit starts an examination. The control unit switches an observation state to an infrared light observation by an observation switching unit. Next, an examiner performs alignment while observing an eye to be examined, and photographs the eye to be examined with a photographing unit. The start and completion management unit determines whether the examination is completed according to a selection of an examination complete button, and repeats the alignment until it is determined that the examination is completed.

Abstract: Upon detecting a selection of an examination start button, a start and completion management unit starts an examination. The control unit switches an observation state to an infrared light observation by an observation switching unit. Next, an examiner performs alignment while observing an eye to be examined, and photographs the eye to be examined with a photographing unit. The start and completion management unit determines whether the examination is completed according to a selection of an examination complete button, and repeats the alignment until it is determined that the examination is completed.

Abstract: At least one exemplary embodiment is directed to an ophthalmic image pickup apparatus that can separate and display image segments, where the image segments are assigned various priority levels for display, of an ophthalmic image according to the various priority levels.

Abstract: To provide an ophthalmic image pickup apparatus capable of setting a fixation target in a position suitable for image pickup in accordance with a selection of an image pickup purpose (group medical examination such as an adult disease examination or a glaucomatous examination). In addition, it can be determined whether operation of the fixation target is inhibited or allowed in accordance with the selected image pickup purpose.

Abstract: A user dictionary, which is formed by storing pronunciations and notations of target recognition words designated by the user in correspondence with each other, input speech recognition data, and dictionary management data used to determine the recognition field of a recognition dictionary used in recognition of the speech recognition data are sent to a server via a communication module. In the server, a dictionary management unit looks up an identifier table to determine a recognition dictionary corresponding to the dictionary management information received from a client from a plurality of kinds of recognition dictionaries. A speech recognition module recognizes the speech recognition data using at least the determined recognition dictionary. The recognition result is sent to the client via a communication module.

Abstract: The system implements high-accuracy speech recognition while suppressing the amount of data transfer between the client and server. For this purpose, the client compression-encodes speech parameters by a speech processing unit, and sends the compression-encoded speech parameters to the server. The server receives the compression-encoded speech parameters, a speech processing unit makes speech recognition of the compression-encoded speech parameters, and sends information corresponding to the speech recognition result to the client.

Abstract: To provide an ophthalmic image pickup apparatus capable of setting a fixation target in a position suitable for image pickup in accordance with a selection of an image pickup purpose (group medical examination such as an adult disease examination or a glaucomatous examination). In addition, it can be determined whether operation of the fixation target is inhibited or allowed in accordance with the selected image pickup purpose.

Abstract: To provide an ophthalmic image pickup apparatus capable of setting a fixation target in a position suitable for image pickup in accordance with a selection of an image pickup purpose (group medical examination such as an adult disease examination or a glaucomatous examination). In addition, it can be determined whether operation of the fixation target is inhibited or allowed in accordance with the selected image pickup purpose.

Abstract: At least one exemplary embodiment is directed to an ophthalmic image pickup apparatus that can separate and display image segments, where the image segments are assigned various priority levels for display, of an ophthalmic image according to the various priority levels.

Abstract: The system implements high-accuracy speech recognition while suppressing the amount of data transfer between the client and server. For this purpose, the client compression-encodes speech parameters by a speech processing unit, and sends the compression-encoded speech parameters to the server. The server receives the compression-encoded speech parameters, a speech processing unit makes speech recognition of the compression-encoded speech parameters, and sends information corresponding to the speech recognition result to the client.

Abstract: The system implements high-accuracy speech recognition while suppressing the amount of data transfer between the client and server. For this purpose, the client compression-encodes speech parameters by a speech processing unit, and sends the compression-encoded speech parameters to the server. The server receives the compression-encoded speech parameters, and speech processing unit makes speech recognition of the compression-encoded speech parameters, and sends information corresponding to the speech recognition result to the client.

Abstract: To provide an ophthalmic image pickup apparatus capable of setting a fixation target in a position suitable for image pickup in accordance with a selection of an image pickup purpose (group medical examination such as an adult disease examination or a glaucomatous examination). In addition, it can be determined whether operation of the fixation target is inhibited or allowed in accordance with the selected image pickup purpose.

Abstract: A user dictionary, which is formed by storing pronunciations and notations of target recognition words designated by the user in correspondence with each other, input speech recognition data, and dictionary management data used to determine the recognition field of a recognition dictionary used in recognition of the speech recognition data are sent to a server via a communication module. In the server, a dictionary management unit looks up an identifier table to determine a recognition dictionary corresponding to the dictionary management information received from a client from a plurality of kinds of recognition dictionaries. A speech recognition module recognizes the speech recognition data using at least the determined recognition dictionary. The recognition result is sent to the client via a communication module.