Abstract: A three-dimensional shaped object can achieve both of a property in the case of a high dense degree and a property in the case of a low dense degree, and have a high strength. The three-dimensional shaped object includes a dense portion formed on one side so as to be dense, and a porous portion formed on an opposite side so as to be porous. The dense portion and the porous portion are formed by a reaction product of a ceramic material with a chelating agent.

Abstract: An improved image processing apparatus and the like using visual recognition of a vertebrate such as a human being are provided. The image processing apparatus includes an image acquisition unit for acquiring an image, a first image processing unit for performing first image processing on the acquired image, and including a first sampling unit for performing first sampling for extracting at least one sample to be processed from the acquired image, and a color detection unit for detecting colors of the at least one extracted sample, and a second image processing unit for performing second image processing different from the first image processing on the acquired image, and including a second sampling unit for performing second sampling for extracting at least one sample to be processed from the acquired image, and a color reduction unit for reducing the colors of the at least one extracted sample.

Abstract: Disclosed herein are a system for identifying cells on a microscopic image. According to some embodiments, the system comprises a non-transitory processor-readable medium, and a processor communicably configured to receive the microscopic image, and process the received microscopic image with a convolutional neural network (CNN) model having a modified U-Net architecture. Also disclosed herein are methods for identifying a spatial pattern of human induced pluripotent stem cells (hiPSCs) by using the present system.

Abstract: An ophthalmic information processing apparatus includes a determiner and a detector. The determiner is configured to determine a presence or absence of a disc hemorrhage for a front image of a fundus of a subject's eye, using a disc hemorrhage determination model obtained by performing machine learning using a plurality of fundus images labeled with labels indicating the presence or absence of a disc hemorrhage as first teaching data. The detector is configured to detect a disc hemorrhage region depicted in the front image that is determined to have the disc hemorrhage, using a disc hemorrhage region detection model obtained by performing machine learning using a plurality of pairs of image groups as second teaching data, each pair having a front image of a fundus and a disc hemorrhage region image representing a disc hemorrhage region depicted in the front image.

Abstract: An ophthalmic information processing apparatus includes an acquisition unit and a disease estimation unit. The acquisition unit is configured to acquire a plurality of images with different cross-sectional orientations from each other of a subject’s eye. The disease estimation unit is configured to output estimation information for estimating whether or not the subject’s eye is a glaucoma eye from the images, using a plurality of learned models obtained by performing machine learning for each type of the images.

Abstract: A method, in accordance with an embodiment of the present invention, for testing for mastitis in a domestic animal includes the step of measuring, by nuclear magnetic resonance (NMR), a spin-spin relaxation time of milk collected from a quarter of the domestic animal.

Abstract: An image processing device acquires an image obtained by irradiating an area of a living body with light having a wavelength of 955 [nm] to 2025 [nm]. The image processing device inputs the acquired image to a learned model or a statistical model generated in advance for detecting, from the image, a tumor present in the area, and determines whether or not a tumor is present at each point in the image.

Abstract: To provide a three-dimensional hardness distribution measurement method with better measurement accuracy. The method is a three-dimensional hardness distribution measurement method including and repeating: cutting evenly a surface of a member to be measured; imaging the surface having been cut; and pushing an indenter for a hardness test into a plurality of points on the surface having been imaged. In the method, a cutting depth of the surface is controlled, in the cutting, to a predetermined constant amount, and indentation depths of the indenter at the plurality of points are controlled, in the pushing, to a predetermined constant amount.

Abstract: Provided according to an embodiment of the present disclosure is a radiation shield 10 including a shield wall surrounding a hollow region capable of accommodating therein atoms for an optical lattice clock 100, the shield wall having, provided therein, at least two apertures communicating with outside.

Abstract: An aspect of the present invention allows for more accurately identifying a possible lesion in a human lung field. The aspect of the present invention includes an image obtaining section configured to obtain a chest cross-sectional image of a subject, a segmentation section configured to classify, into a plurality of segments, unit elements of the chest cross-sectional image, and an image dividing section configured to divide the chest cross-sectional image into a plurality of regions. A data deriving section is configured to derive data associated with the possible lesion, the data being derived on the basis of a segment of unit elements in the each region among the plurality of segments. An identifying section is configured to output an identification result, which is a result of identification of the possible lesion in the lung field of the subject.

Abstract: Target point cloud data about a specific road are extracted from perimeter point cloud data acquired by moving a road surface measurement device along a measurement route and scanning the surroundings thereof. A data storage unit stores trajectory point sequence data that represent, as a plurality of trajectory points, the perimeter point cloud data and a trajectory of the movement of the road surface measurement device. A trajectory point sequence setting unit acquires a trajectory point sequence at equal intervals from the trajectory point sequence data. An extraction area setting unit sets, as extraction areas, a column area Ci and a parallelepiped area Hi that are geometric areas disposed at predetermined positions below a trajectory point Xi. An approximate nearest neighbor search processing unit and an extraction processing unit extract, as the target point cloud data, point data that belong to this extraction area of the perimeter point cloud data.

Abstract: Disclosed herein are methods for predicting the reprogramming process of cells from a microscopic image of one or more cells. According to some embodiments, the method includes capturing an image of region of interest (ROI) of every pixel of the microscopic image, followed by processing the ROI image with a trained convolutional neural network (CNN) model and a trained long short-term memory (LSTM) network so as to obtain predicted probability maps. Also disclosed herein are a storage medium and a system for executing the present methods.

Abstract: Provided is a system that enables training for catheter surgery without using radiation. The system offering training for catheter surgery includes: a light source; a blood vessel model to which a catheter having a fluorescent agent applied thereto is inserted; a tank in which the blood vessel model is placed; a filter for rejecting white light that is not transmitted through the blood vessel model, of illuminating light from the light source; a camera for imaging fluorescence transmitted through the filter; a driver for changing the attitude of the light source; and a computer that performs a process of reversing black and white of an image signal output from the camera.

Abstract: An aspect of the present invention allows for more accurately identifying a possible lesion in a human lung field. The aspect of the present invention includes: an image obtaining section configured to obtain a chest cross-sectional image of a subject; a segmentation section configured to classify, into a plurality of segments, unit elements of the chest cross-sectional image; an image dividing section configured to divide the chest cross-sectional image into a plurality of regions; a data deriving section configured to derive data associated with the possible lesion, the data being derived on the basis of a segment of unit elements in the each region among the plurality of segments; and an identifying section configured to output an identification result, which is a result of identification of the possible lesion in the lung field of the subject.

Abstract: An ophthalmic information processing system according to an embodiment includes a receiver and a processor. The receiver receives morphological data of an eye fundus of a subject. In addition, the receiver receives background data of the subject. The processor executes optic nerve head shape classification based on the morphological data and the background data received by the receiver.

Abstract: Disclosed herein are methods for predicting the reprogramming process of cells from a microscopic image of one or more cells. According to some embodiments, the method includes capturing an image of region of interest (ROI) of every pixel of the microscopic image, followed by processing the ROI image with a trained convolutional neural network (CNN) model and a trained long short-term memory (LSTM) network so as to obtain predicted probability maps. Also disclosed herein are a storage medium and a system for executing the present methods.

Abstract: Disclosed herein are methods for identifying cells undergoing reprogramming and reprogrammed cells from a fluorescence microscopic image of one or more cells. According to some embodiments, the method includes an image processing step, a cell detection step, and, optionally, a clustering step.

Abstract: Disclosed herein are methods for analyzing cell kinematics in a nucleated cell culture from a time-series sequence of multiple fluorescence microscopic images of the nucleated cell culture. The method includes the steps of, (a) identifying every cell nucleus in each fluorescence microscopic image; (b) identifying every cell cluster using the cell nuclei identified in the step (a); and (c) tracking the cells and/or cell clusters using the cell nuclei and cell clusters identified for the fluorescence microscopic images in steps (a) and (b) respectively.

Abstract: Target point cloud data about a specific road are extracted from perimeter point cloud data acquired by moving a road surface measurement device along a measurement route and scanning the surroundings thereof. A data storage unit stores trajectory point sequence data that represent, as a plurality of trajectory points, the perimeter point cloud data and a trajectory of the movement of the road surface measurement device. A trajectory point sequence setting unit acquires a trajectory point sequence at equal intervals from the trajectory point sequence data. An extraction area setting unit sets, as extraction areas, a column area Ci and a parallelepiped area Hi that are geometric areas disposed at predetermined positions below a trajectory point Xi. An approximate nearest neighbor search processing unit and an extraction processing unit extract, as the target point cloud data, point data that belong to this extraction area of the perimeter point cloud data.

Abstract: Provided according to an embodiment of the present disclosure is a radiation shield 10 including a shield wall surrounding a hollow region capable of accommodating therein atoms for an optical lattice clock 100, the shield wall having, provided therein, at least two apertures communicating with outside.