Canon Kabushiki Kaisha

Koichi Tanji

Yasufumi Asao

Manabu Komatsu

Hiroyuki Hashimoto

Akira Asai

Masafumi Kyogaku

Katsuhiro Watanabe

An information processing apparatus comprises a generating unit configured to generate supervised data relating to a topological invariant based on a topological property relating to supervised data corresponding to input data, and a training unit configured to perform, based on a geometric property relating to an output from a classifier to which the input data is input and the supervised data generated by the generating unit, training of the classifier.

Information processing apparatus, information processing method, and non-transitory computer-readable storage medium

The present invention provides a method for classifying biological tissues with high precision compared to a conventional method. When measuring a spectrum which has a two-dimensional distribution that is correlated with a slice of a biological tissue, and acquiring a biological tissue image from the two-dimensional measured spectrum, the method includes dividing an image region into a plurality of small blocks, and then reconstructing the biological tissue image by using the measured spectrum and a classifier corresponding to each of the regions.

Reconstruction method of biological tissue image, apparatus therefor, and image display apparatus using the biological tissue image

High-speed data processing is achieved by measuring spectral data using a multivariate analysis. This is accomplished by a determining sampling intervals or sampling data to be used in the multivariate analysis, obtaining a spectral data group of the determined sampling intervals, and carrying out the multivariate analysis using the obtained spectral data group.

Method and device for processing data

A subject information obtaining apparatus has: a light source; a plurality of receiving elements which receive acoustic waves generated from a subject, and output signals; a memory unit for storing, for each of a plurality of predetermined positions, information to represent signals which are output from the plurality of receiving elements when an acoustic wave source is assumed to exist in the position; and an estimating unit for estimating a distribution of acoustic wave sources. The estimating unit assumes a distribution of acoustic wave sources, obtains signals corresponding to positions of respective acoustic wave sources in the assumed distribution from the stored information, and defines a distribution of acoustic wave sources, of which degree of coincidence between the obtained signals and signals obtained in an actual measurement is highest, as the distribution of acoustic wave sources.

Subject information obtaining apparatus, subject information obtaining method, and program

Provided are a method of reconstructing a biological tissue image, and a method and apparatus for acquiring a biological tissue image, which allow a biological tissue to be identified with higher accuracy than ever before. The reconstruction of the biological tissue image is performed by measuring spectra having a two-dimensional distribution correlated with a biological tissue section, and acquiring a biological tissue image from the two-dimensional measured spectra through utilization of the measured spectra and an classifier.

Method of reconstructing a biological tissue image, and method and apparatus for acquiring a biological tissue image

Noise reduction processing for measured spectrum data is performed without any information loss due to discrete data characteristics of the measured spectrum data. Optical spectra in one or more cross-sections are measured through use of a signal correlated with a substance distributed in a biological tissue, and a biological tissue image having reduced noise is reconstructed from the spectra.

Noise reduction processing method and apparatus for a biological tissue image

A more effective noise reduction method is provided. In the method, when mass spectrum information having a spatial distribution is processed, the whole data is taken as three-dimensional data (positional information is stored in an xy plane, and spectral information is stored along a z-axis direction), and three-dimensional wavelet noise reduction is performed by applying preferable basis functions to a spectral direction and a peak distribution direction (in-plane direction).

Method and apparatus for reducing noise in mass signal

To provide a method that reduces an influence of dependence of an ionizing beam in an incident direction or uneven irradiation to a sample on a result of mass spectrometry, and can measure mass distribution with high reliability. A mass distribution measuring method according to the present invention includes: changing a direction of irradiating the ionizing beam to a sample surface; acquiring a plurality of mass distribution images in a plurality of incident directions; performing image transform of the mass distribution images according to an angle formed by an incident direction of the ionizing beam and a substrate surface; synthesizing the plurality of transformed images; and outputting the synthesized mass distribution images.

Mass distribution measuring method and mass distribution measuring apparatus

When correcting the acoustic wave refraction occurring on the interface between mediums having different sound speeds by Snell's law, an applicable back-projection method is limited to a time domain method. An image data generating method performed to receive and convert an acoustic wave generated by irradiating a subject with light into a first electrical signal with an acoustic wave receiver via a medium having a sound speed different from that of the subject, and to generate image data based on the first electrical signal is provided, wherein a second electrical signal obtained when the acoustic wave is received at each virtual reception point is generated based on the first electrical signal through an integral calculation performed by using an advanced Green's function, and image data is generated based on the second electrical signal.

Acoustic wave measuring system and method of generating image data thereof

A method for numerical calculation related to fluids which is efficient and less liable to cause numerical diffusion and does not rely upon the functional form of an equation of state and hence can be used as a generalized numerical calculation method. A flux is divided into an advection part, a pressure-dependent part, and a dissipation part, according to physical properties thereof, to calculate a one-dimensional basic equation. A time evolution is executed on the advection part and the pressure-dependent part using an upwind difference type leap-frog difference method and a central difference type leap-frog difference method, respectively.

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Kawasaki, Japan

Koichi Tanji