Patents by Inventor Hideharu Hattori

Hideharu Hattori has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20240265551
    Abstract: An apparatus for generating models for identifying objects of interest from images is disclosed. The apparatus includes an input unit that receives input images, an object segmentation unit that receives the input images from the input unit and separates regions of objects of interest from a background region, and a learning unit that learns models used by the object segmentation unit. The learning unit trains new models using training data and outputs of existing models in relation to the training data, adds the trained new models to the existing model, and repeats the training of the new models and the adding of the trained new models to the existing models.
    Type: Application
    Filed: February 2, 2021
    Publication date: August 8, 2024
    Applicant: HITACHI HIGH-TECH CORPORATION
    Inventors: Anirban RAY, Hideharu HATTORI, Yasuki KAKISHITA
  • Patent number: 11972560
    Abstract: A machine learning device with a processor and a memory, in which the processor receives an image and calculates a feature amount of an object included in the image, the processor identifies a local part from the feature amount and calculates a local identification value, the processor calculates an overall identification value using the local identification value, and the processor generates a classifier using the local identification value and the overall identification value and stores it in the memory.
    Type: Grant
    Filed: June 24, 2019
    Date of Patent: April 30, 2024
    Assignee: HITACHI HIGH-TECH CORPORATION
    Inventors: Hideharu Hattori, Yasuki Kakishita, Kenko Uchida, Sadamitsu Aso, Toshinari Sakurai
  • Publication number: 20240119588
    Abstract: An image diagnosis support device according to the invention executes a processing of inputting an image, a processing of extracting a feature of an object from a target image to be processed, a processing of extracting a feature of a training image and creating a feature dictionary, a processing of classifying the target image based on the feature and calculating an classification value, a processing of classifying a feature similarity of the target image using the feature dictionary and calculating a feature similarity classification value, and a processing of determining presence or absence of the object and a likelihood of the object for the target image using the classification value and the feature similarity classification value.
    Type: Application
    Filed: February 15, 2022
    Publication date: April 11, 2024
    Applicant: Hitachi High-Tech Corporation
    Inventors: Hideharu HATTORI, Yasuki KAKISHITA, Kenko UCHIDA, Toshinari SAKURAI
  • Publication number: 20240119698
    Abstract: An image processing device includes: an image reception unit for receiving an input image; an image generation unit for generating an image for extracting a feature from the input image; a feature extraction unit for extracting a feature from the generation image generated by the image generation unit; an identification unit for identifying an object in the image using the feature output from the feature extraction unit; an output unit for outputting an identification result output from the identification unit; and a feature map generation unit for instructing the image generation unit generating a new generation image based on the feature output from the feature extraction unit, and generating a feature map indicating a feature extraction condition for the new generation image and output the generated feature map to the feature extraction unit. With this configuration, a target object in the image is identified quickly and accurately.
    Type: Application
    Filed: June 23, 2022
    Publication date: April 11, 2024
    Applicant: HITACHI HIGH-TECH CORPORATION
    Inventors: Yasuki KAKISHITA, Hideharu HATTORI, Yoichiro SUZUKI, Hidetsugu TANOUE
  • Publication number: 20240005682
    Abstract: Representative features which are representative features for deciding the types or states of objects are extracted, the types or states of the objects are identified on the basis of the representative features to classify the objects, and the object classification results and the representative features are output in association with an image.
    Type: Application
    Filed: November 12, 2021
    Publication date: January 4, 2024
    Applicant: HITACHI HIGH-TECH CORPORATION
    Inventors: Yasuki KAKISHITA, Hideharu HATTORI, Taku SAKAZUME
  • Publication number: 20230237818
    Abstract: An image diagnosis method comprises a step of acquiring an image including at least one of a tissue and a cell as an element, a step of classifying, for each partial image that is a part of the image, a property of the element included in the partial image, and a step of sorting the image into any one of benign indicating that no lesion element is present, malignant indicating that a lesion element is present, and follow-up based on classification results of the plurality of partial images.
    Type: Application
    Filed: March 8, 2021
    Publication date: July 27, 2023
    Applicants: HITACHI HIGH-TECH CORPORATION, JAPANESE FOUNDATION FOR CANCER RESEARCH
    Inventors: Hideharu HATTORI, Yasuki KAKISHITA, Kenko UCHIDA, Toshinari SAKURAI, Futoshi AKIYAMA
  • Patent number: 11676268
    Abstract: An image diagnosis assisting apparatus according to the present invention executes: processing of inputting an image of a tissue or cell; processing of extracting a feature amount of a tissue or cell from a processing target image; processing of extracting a feature amount of a tissue or cell from an image having a component different from that of the target image; and processing of determining presence or absence of a lesion and lesion probability for each of the target images by using a plurality of the feature amounts.
    Type: Grant
    Filed: February 26, 2018
    Date of Patent: June 13, 2023
    Assignee: HITACHI HIGH-TECH CORPORATION
    Inventors: Hideharu Hattori, Yasuki Kakishita, Kenko Uchida, Sadamitsu Aso, Toshinari Sakurai
  • Publication number: 20230177699
    Abstract: In order to perform quantitative analysis on an object in an image, it is important to accurately identify the object, but when plural objects are in contact with each other, it is potential that a target portion cannot be accurately identified. An image is segmented into a foreground region and a background region, the foreground region being a region in which an object for which quantitative information is to be calculated is shown, and the background region being a region other than the foreground region. With respect to a first object and a second object in contact with each other in the image, a contact point between the first object and the second object is detected based on a region segmentation result output by a segmentation unit.
    Type: Application
    Filed: February 6, 2020
    Publication date: June 8, 2023
    Applicant: HITACHI HIGH-TECH CORPORATION
    Inventors: Anirban RAY, Hideharu HATTORI, Yasuki KAKISHITA, Taku SAKAZUME
  • Publication number: 20230072040
    Abstract: A computing machine includes: a storage unit that stores learning data; a learning unit that executes learning processing for generating a classifier by using the learning data; and a generation unit that generates the learning data, and the generation unit calculates a feature amount vector handled by the classifier by using the learning data stored in the storage unit, analyzes the distribution ox the learning data in a feature amount space on the basis of the feature amount vector to specify a boundary where the classification result of the classifier changes in the feature amount space, and generates new learning data by using the learning data existing in the vicinity of the boundary.
    Type: Application
    Filed: January 18, 2021
    Publication date: March 9, 2023
    Applicant: Hitachi High-Tech Corporation
    Inventors: Yasuki KAKISHITA, Hideharu HATTORI, Yoichiro SUZUKI, Hidetsugu TANOUE
  • Publication number: 20220351078
    Abstract: An appropriate learning database and an appropriate classifier are to be created and used. A machine learning device includes: a processor configured to process a data sample; and a storage device configured to store a result of the process. The processor is configured to create a plurality of classifiers based on a plurality of learning databases. Each of the plurality of learning databases stores a plurality of learning data samples. The processor is configured to create an evaluation result on identification performance of each of the plurality of classifiers, and determine, based on the evaluation result, one learning database among the plurality of learning databases and a classifier to be generated based on the one learning database as a learning database and a classifier that are to be used.
    Type: Application
    Filed: September 29, 2020
    Publication date: November 3, 2022
    Applicant: Hitachi High-Tech Corporation
    Inventors: Hideharu HATTORI, Yasuki KAKISHITA, Kenko UCHIDA, Sadamitsu ASO, Toshinari SAKURAI
  • Publication number: 20220172341
    Abstract: Provided is an image processing apparatus, an automatic analysis system, and an image processing method capable of determining a state of a container or a state of a collection target based on an image acquired by a single camera. The image processing apparatus includes: an image acquisition unit configured to acquire an upper image that is an image obtained by capturing an image of a container accommodating a collection target including a sample, a reagent, and a reaction solution from above; a region calculation unit configured to calculate an edge region of the container or an upper surface region of the collection target from the upper image; and a state determination unit configured to determine a state of the container or a state of the collection target based on the edge region or the upper surface region.
    Type: Application
    Filed: January 28, 2020
    Publication date: June 2, 2022
    Applicant: HITACHI HIGH-TECH CORPORATION
    Inventors: Yasuki KAKISHITA, Hideharu HATTORI, Taku SAKAZUME, Yoichiro SUZUKI
  • Patent number: 11282184
    Abstract: A state of a sample surface is accurately determined without lowering analysis efficiency. There is provided an apparatus for determining a state of a sample to be analyzed contained in a container, in which the apparatus acquires an image of the sample, analyzes a position and a size of an object to be detected with respect to a detection range set in the image by using the image of the sample, and determines the state of the sample based on a result of the analysis.
    Type: Grant
    Filed: May 31, 2018
    Date of Patent: March 22, 2022
    Assignee: HITACHI-HIGH-TECHNOLOGIES CORPORATION
    Inventors: Yasuki Kakishita, Hideharu Hattori, Taku Sakazume, Yoichiro Suzuki
  • Patent number: 11176668
    Abstract: Reaction values indicating based on which areas in an input image a plurality of identification results representing the states of cells or tissues are judged are calculated, and differences between a plurality of reaction values are obtained to thereby calculate the degree to which cells or tissues in an area of interest likely are in each state. Thereby, each state of cells or tissues can be visualized at an accurate position in an area of interest; therefore, diagnostic assistance to pathologist becomes possible.
    Type: Grant
    Filed: August 28, 2017
    Date of Patent: November 16, 2021
    Assignee: Hitachi High-Tech Corporation
    Inventors: Yasuki Kakishita, Hideharu Hattori, Kenko Uchida, Sadamitsu Aso, Toshinari Sakurai
  • Publication number: 20210271929
    Abstract: A machine learning device with a processor and a memory, in which the processor receives an image and calculates a feature amount of an object included in the image, the processor identifies a local part from the feature amount and calculates a local identification value, the processor calculates an overall identification value using the local identification value, and the processor generates a classifier using the local identification value and the overall identification value and stores it in the memory.
    Type: Application
    Filed: June 24, 2019
    Publication date: September 2, 2021
    Applicant: HITACHI HIGH-TECH CORPORATION
    Inventors: Hideharu HATTORI, Yasuki KAKISHITA, Kenko UCHIDA, Sadamitsu ASO, Toshinari SAKURAI
  • Patent number: 10872411
    Abstract: A diagnostic imaging assistance apparatus according to the present invention performs a process of inputting images of a tissue and a cell, a process of extracting feature amounts of a wide view and a narrow view from a target image to be processed, a process of classifying whether the target images having different views are normal or abnormal from the feature amounts, and a process of classifying a lesion likelihood using a classification result.
    Type: Grant
    Filed: October 26, 2017
    Date of Patent: December 22, 2020
    Assignee: HITACHI HIGH-TECH CORPORATION
    Inventors: Hideharu Hattori, Kenko Uchida, Sadamitsu Aso, Toshinari Sakurai, Yasuki Kakishita
  • Publication number: 20200242752
    Abstract: A state of a sample surface is accurately determined without lowering analysis efficiency. There is provided an apparatus for determining a state of a sample to be analyzed contained in a container, in which the apparatus acquires an image of the sample, analyzes a position and a size of an object to be detected with respect to a detection range set in the image by using the image of the sample, and determines the state of the sample based on a result of the analysis.
    Type: Application
    Filed: May 31, 2018
    Publication date: July 30, 2020
    Applicant: HITACHI HIGH-TECHNOLOGIES CORPORATION
    Inventors: Yasuki KAKISHITA, Hideharu HATTORI, Taku SAKAZUME, Yoichiro SUZUKI
  • Patent number: 10719721
    Abstract: An image processing apparatus includes: a storage unit configured to store map information to which object information indicating an object and a position thereof is added, and a plurality of different classifiers for classifying an object in an image; an object detecting unit configured to detect an object in a target image; and an object recognizing unit configured to select any of the classifiers based on a photographing position that is a position at which the target image has been photographed and the object information added to the map information and, using the selected classifier, recognize the object detected by the object detecting unit.
    Type: Grant
    Filed: November 20, 2017
    Date of Patent: July 21, 2020
    Assignee: HITACHI, LTD.
    Inventors: Hideharu Hattori, Yoshifumi Izumi
  • Publication number: 20200151877
    Abstract: An image diagnosis assisting apparatus according to the present invention executes: processing of inputting an image of a tissue or cell; processing of extracting a feature amount of a tissue or cell from a processing target image; processing of extracting a feature amount of a tissue or cell from an image having a component different from that of the target image; and processing of determining presence or absence of a lesion and lesion probability for each of the target images by using a plurality of the feature amounts.
    Type: Application
    Filed: February 26, 2018
    Publication date: May 14, 2020
    Applicant: HITACHI HIGH-TECHNOLOGIES CORPORATION
    Inventors: Hideharu HATTORI, Yasuki KAKISHITA, Kenko UCHIDA, Sadamitsu ASO, Toshinari SAKURAI
  • Patent number: 10453192
    Abstract: The present invention realizes determination of tissues and cells from an image by calculating feature values of a deformed degree of the cells even in a case where the tissues or the cells have various shapes. An image diagnosis support apparatus according to the present invention executes processing of inputting an image of cells, processing of extracting the feature values of a plurality of direction components from a target image of the processing, processing of determining whether or not the image corresponds to one-classification by using the plurality of feature values, and processing of determining whether or not the determination processing is finished with respect to all of the classifications set in advance (FIG. 1).
    Type: Grant
    Filed: January 28, 2016
    Date of Patent: October 22, 2019
    Assignee: HITACHI HIGH-TECHNOLOGIES CORPORATION
    Inventors: Hideharu Hattori, Yasuki Kakishita, Kenko Uchida, Sadamitsu Aso, Fumiaki Hamazato
  • Patent number: 10417751
    Abstract: An image processing apparatus includes: a contrast correcting unit which creates a contrast-corrected image in which contrast of an input image photographed by an in-vehicle camera that is mounted to a vehicle is corrected; a color analyzing unit which creates a color-corrected image in which a color of the input image is corrected; an object detecting unit which detects a first target object included in the input image based on the contrast-corrected image, and which detects a second target object included in the input image based on the color-corrected image; and an object association analyzing unit which recognizes the first target object and the second target object based on a time series association between the first target object and the second target object detected by the object detecting unit.
    Type: Grant
    Filed: October 23, 2017
    Date of Patent: September 17, 2019
    Assignee: Hitachi, Ltd.
    Inventors: Hideharu Hattori, Yoshifumi Izumi