36 results about "Morphometric analysis" patented technology

A method of spectral-morphometric analysis of biological samples, the biological samples including substantially constant components and suspected variable components, the method is effected by following the steps of (a) using a spectral data collection device for collecting spectral data of picture elements of the biological samples; (b) defining a spectral vector associated with picture elements representing a constant component of at least one of the biological samples; (c) using the spectral vector for defining a correcting function being selected such that when operated on spectral vectors associated with picture elements representing other constant components, spectral vectors of the other constant components are modified to substantially resemble the spectral vector; (d) operating the correcting function on spectral vectors associated with at least the variable components for obtaining corrected spectral vectors thereof; and (e) classifying the corrected spectral vectors into classification groups.

The present invention allows a program vector representing attributes of a program to be generated as follows. At a step S11, EPG data is received. At a step S12, meta data necessary for generation of a program vector PP is extracted from the EPG data. At a step S13, a morphological analysis is carried out on contents and title included in the meta data to disassemble the contents and the title into words. At a step S14, items included in the meta data are subjected to a vector creation process to generate the program vector PP. At a step S15, an effect vector is extracted on the basis of a genre of a program associated with the meta data. At a step S16, the extracted effect vector is associated with the generated program vector PP and the processing is ended. The present invention can be applied to a distribution server for distributing contents.

The present invention provides methods and systems for automated morphological analysis of cells. The inventive methods are particularly useful in the rapid analysis of cells required in a biological screen. Agents which cause a particular phenotype in the cells can be identified using the inventive quantitative morphometric analysis of cells. The data gathered using the inventive method can also be quantified and analyzed later for various trends and classifications. Characteristics of cells which can be determined using this method include number of nuclei, size of cell, size of nuclei, number of the centrosomes, shape of cells, size of centrosomes, perimeter of nucleus, shape of nucleus, pattern of staining, and degree of staining.

An information processing apparatus includes: an acquiring section acquiring metadata of content; a morphological analysis section performing a morphological analysis of text information included in the metadata of the content; a genre extracting section extracting genre information for each individual content in the metadata of the content; and a keyword extracting section extracting words with attributes that have relevance to the genre of predetermined content in the metadata of the content by a morphological analysis result of the morphological analysis section.

In an information processing apparatus, an acquisition unit acquires a keyword, and a calculation unit calculates the importance level of each keyword by adding a value determined depending on an increase in the number of occurrences to the importance level and subtracting a value determined depending on an increase in the difference between a current time and a last acquisition time to the importance level. An extraction unit extracts text information of a subtitle in a program. A subtitle morphological analysis unit morphologically analyzes the text information of the subtitle. A comparison unit compares each acquired keyword with each keyword detected via the morphological analysis. A recording unit records the program if the comparison indicates that any acquired keyword is identical to any keyword detected via the morphological analysis. A registration unit registers the recorded program and information indicating the importance level in a table in association with the keyword.

The morphological analysis apparatus according to the present invention, comprises a spelling recovery unit that recovers the spellings of words, a morphological analysis candidate generation unit that segments a word sequence composed of words, the spellings of which have been recovered, into morphemes, appends POS tags to the morphemes and generates a single morphological analysis candidate or a plurality of morphological analysis candidates, a generation probability calculation unit that calculates a generation probability for each morphological analysis candidate having been generated based upon the product of the probability of the pre-spelling recovery word being converted to the post-spelling recovery word and the probability of a morpheme sequence and a POS sequence being generated from the post-spelling recovery word sequence and a solution search unit that selects through a search the most likely candidate as a solution from all the morphological analysis candidates for which the generation probabilities have been calculated by the generation probability calculation unit.

An electrocardiosignal automatic analysis method based on deep learning comprises the steps: downloading labeled electrocardiosignal data from a public data set, processing the electrocardiosignal data to obtain a data set, and dividing the data set into a training set, a verification set and a test set; constructing a deep learning model according to the DLA structure, and performing training toobtain a trained deep learning model; adjusting hyper-parameters, and selecting a model with the best classification effect on the verification set and the test set; and processing 12-lead electrocardiogram data to be classified to obtain a data set, and inputting the data of the data set into the model with the best classification effect to obtain the classification to which the electrocardiogramsignals of the electrocardiogram data belong. According to the method, low-level waveform structure features are extracted through one-dimensional convolution, shallow and deep layers are aggregated,the space and semantic features of the electrocardiosignal are obtained, morphological analysis is completed, correlation between morphologies is obtained, and the method can be applied to classification of electrocardiograms or one-dimensional time series electrocardiograms.

The invention relates to the technical field of medical image intelligent analysis, and provides a medical image anatomical feature automatic identification and model reconstruction method comprisingthe following steps: S1, inputting a two-dimensional image into a segmentation network for prediction, and outputting a prediction result graph corresponding to the two-dimensional image; S2, performing morphological analysis on each anatomical structure segmented from the prediction result graph, and extracting positions and contour lines of key points; S3, reading the contour line and comparingthe contour line with the shape model: when the projection contour simulated by the shape model is close to the contour line, the current shape model is the reconstruction of the real anatomical structure; S4, executing the steps S1-S3 by using at least two two-dimensional images at different visual angles, so as to reconstruct the three-dimensional model of the anatomical structure. According tothe technical scheme, the anatomical feature points and the contour lines of the two-dimensional images can be automatically recognized, and the optimal three-dimensional model can be reconstructed through at least two two-dimensional images at different visual angles.

A method is disclosed for determining and predicting temporomandibular joint (TMJ) motion and to use the predictive model to prepare improved TMJ replacement joints, improved crown, cap or bridge contouring, improved teeth alignments and placements, and improved mouth guard and dentures.

An information processing apparatus which may include acquisition means for acquiring meta-data of a content; morphological analyzing means for performing morphological analysis on text information included in the meta-data of the content; comparison means for comparing a morphological analysis result of the morphological analyzing means and a plurality of list patterns of predetermined performer names; and when there is a list pattern of predetermined performer names having matched at least one part or more out of the morphological analysis result on the basis of the comparison result of the comparison means, first extraction means for extracting a performer name with the list pattern of the matched predetermined performer name.

A system provides accelerated morphological analysis and in particular a speed-up of morphological look-up via a caching mechanism. The system determines whether each incoming token in a token stream is unique or recurring. Unique tokens, which occur for the first time in the token stream, are marked with a unique numerical identification (ID). A pointer is added to recurring tokens, which already occurred in the token stream, and directed towards the unique numerical ID which was defined for the respective token when occurring for the first time. A morphological look-up is performed on the unique tokens. Subsequently, the tokens carrying the pointer are detected and replaced with the results of morphological look-up stored under the unique numerical ID of the respective unique token.

The invention discloses a calcification detection method. The method comprises the following steps: acquiring a blood vessel region image; obtaining a calcification candidate region by using a calcification detection algorithm; on the basis of gradient and brightness analysis, detecting a dotted calcified region; judging whether the dotted calcified area is true calcified or not based on brightness analysis; and carrying out calcified boundary correction. The method can effectively detect the punctiform calcification area on the blood vessel image, eliminates the false alarm area through morphological analysis, and effectively avoids missed detection and false alarm.

The invention discloses a filtering method based on iteration self-adaption multiscale morphological analysis. The content includes: after performing self-adaption multiscale morphological analysis filtering once, applying a self-adaption method to a filtering result of the last time to determine a new structural element scale range, using the newly determined scale range to perform multiscale morphological filtering on an original signal, iterating the abovementioned processes till the structural element scale range determined by the self-adaption method is stable, and finally averaging the scale results as a final result. The filtering method based on iteration self-adaption multiscale morphological analysis in the invention, a self-adaption multiscale morphological analysis method is used iteratively, and thus in the circumstance of a strong noise background and relatively high sampling frequency, interference of noise and harmonic can still be effective suppressed, fault features can be clearly extracted, and an ideal filtering result can be obtained. The filtering method overcomes the defects of self-adaption multiscale morphological analysis, and enriches a theoretical method of morphological filtering.