Patents by Inventor Jianhua Yao

Jianhua Yao 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: 20230052133
    Abstract: A computer device obtains a medical image set. The device identifies a difference between the reference medical image and the target medical image to obtain a candidate non-lesion region in the target medical image. The device determines area size information of the candidate non-lesion region as candidate area size information. The device adjusts the candidate non-lesion region according to the annotated area size information when the candidate area size information does not match the annotated area size information, so as to obtain a target non-lesion region in the target medical image.
    Type: Application
    Filed: October 26, 2022
    Publication date: February 16, 2023
    Inventors: Liang WANG, Jianhua YAO
  • Publication number: 20230051951
    Abstract: This disclosure relates to a model training method and apparatus and an image processing method and apparatus. The model training method includes: obtaining a first sample image and a first standard region proportion corresponding to a first object in the first sample image; obtaining a standard region segmentation result corresponding to the first sample image based on the first standard region proportion; and training a first initial segmentation model based on the first sample image and the standard region segmentation result, to obtain a first target segmentation model.
    Type: Application
    Filed: October 26, 2022
    Publication date: February 16, 2023
    Applicant: Tencent Technology (Shenzhen) Company Limited
    Inventors: Liang WANG, Jianhua Yao
  • Publication number: 20230028046
    Abstract: Embodiments of this application provide omics data processing method and apparatus based on a graph neural network, a device and a medium, and relate to medical, artificial intelligence, cloud data and other technical fields. The method includes: acquiring first omics data of a target object; extracting, at least two first omics features from the first omics data; determining, a first correlation between different omics features; constructing based on the at least two first omics features and the first correlation, a first graph structure corresponding to the first omics data, the first graph structure comprising at least two nodes and at least one connecting edge; obtaining, a node feature of each node in the first graph structure through a first graph neural network based on the first graph structure; and performing medical analysis on the target object based on the node feature.
    Type: Application
    Filed: September 29, 2022
    Publication date: January 26, 2023
    Applicant: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
    Inventors: Xiaohan XING, Fan YANG, Jianhua YAO
  • Publication number: 20230023585
    Abstract: An artificial intelligence-based image processing method implemented by a computer device is provided. The method includes: acquiring an image; performing element region detection on the image to determine an element region in the image; detecting a target element region in the image using an artificial intelligence-based technique; generating a target element envelope region by searching an envelope for the detected target element region; and fusing the element region and the target element envelope region to obtain a target element region outline.
    Type: Application
    Filed: October 5, 2022
    Publication date: January 26, 2023
    Inventors: Liang WANG, Jianhua YAO
  • Patent number: 11547991
    Abstract: A process for activating a hydrogenation catalyst comprising nickel to produce a selective hydrogenation catalyst, comprising contacting the hydrogenation catalyst with a mixed gas comprising and hydrogen sulfide and periodically increasing the temperature of the mixed gas in increments until the mixed gas reaches a temperature that facilities the efficient catalytic hydrogenation of both acetylene and butadiene by the modified catalyst, while the modified catalyst is simultaneously characterized by low selectivity for the hydrogenation of ethylene. The disclosure further claims a process that utilizes the modified catalyst to selectively hydrogenate acetylene and butadiene contaminants in a raw light olefin stream produced by thermal cracking, thereby extending the useful catalytic lifespan of a downstream oligomerization catalyst that converts the light olefins stream to a liquid transportation fuel, or a blend stock thereof.
    Type: Grant
    Filed: November 30, 2021
    Date of Patent: January 10, 2023
    Assignee: Phillips 66 Company
    Inventors: Jianhua Yao, Daniel Kuehler
  • Publication number: 20230005156
    Abstract: This application provides an artificial intelligence-based pathological image processing method performed by an electronic device. The method includes: determining a seed pixel of an immune cell region from a pathological image; obtaining a seed pixel mask image corresponding to the seed pixel of the immune cell region from the pathological image based on the seed pixel of the immune cell region; segmenting an epithelial cell region in the pathological image, to obtain an epithelial cell mask image of the pathological image; fusing the seed pixel mask image and the epithelial cell mask image of the pathological image, to obtain an effective seed pixel mask image corresponding to the immune cell region in the pathological image; and determining a ratio value of the immune cell region in the pathological image based on the effective seed pixel mask image.
    Type: Application
    Filed: September 6, 2022
    Publication date: January 5, 2023
    Inventors: Liang WANG, Kaiwen XIAO, Kuan TIAN, Jianhua YAO
  • Publication number: 20220342195
    Abstract: A microscope system includes an objective lens, configured to gather a first light of a target sample to enter a first optical path, wherein the first light converges, at a beamsplitter, with a second light generated by an image projection module after entering the first optical path through a lens assembly; a beamsplitter assembly, configured to respectively separate and cast light in different optical paths; a camera assembly, configured to photograph the target sample in a microscope field of view, to photograph a clearly focused image through a first optical path by using the camera assembly; an auxiliary focusing device, configured to determine a focal length matching the camera assembly; and a focusing device, configured to adjust a focal length of image light entering the camera assembly according to a defocus amount of a target sample image determined by the auxiliary focusing device.
    Type: Application
    Filed: May 16, 2022
    Publication date: October 27, 2022
    Inventors: Jun LIAO, Jianhua YAO
  • Publication number: 20220333255
    Abstract: A process for methanation comprising a first region for flowing a stream over a solid oxide electrolysis cell. In this first region the stream consists of CO2, H2, and H2O, the stream is converted into a first conversion stream, and the solid oxide electrolysis cell is enhanced with a methanation catalyst. The process also has a removal region connected to the first region wherein the removal region is able to flow the first conversion stream away from the solid oxide electrolysis cell.
    Type: Application
    Filed: April 20, 2022
    Publication date: October 20, 2022
    Applicant: PHILLIPS 66 COMPANY
    Inventors: Ying Liu, Samuel J. Baxter, Jianhua Yao
  • Publication number: 20220319208
    Abstract: Aspects of the disclosure are directed to the field of artificial intelligence technologies and provides a method and an apparatus for obtaining a feature of duct tissue based on computer vision, an intelligent microscope, a storage medium, and a computer device. The method can include the steps of obtaining an image including duct tissue, determining, in an image region corresponding to the duct tissue in the image, at least two feature obtaining regions adapted to duct morphology of the duct tissue, obtaining cell features of cells of the duct tissue in the feature obtaining regions respectively, and obtaining a feature of the duct tissue based on the cell features of the cells of the duct tissue in the feature obtaining regions respectively.
    Type: Application
    Filed: March 2, 2022
    Publication date: October 6, 2022
    Applicant: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
    Inventors: Cheng JIANG, Jiarui SUN, Liang WANG, Rongbo SHEN, Jianhua YAO
  • Publication number: 20220309610
    Abstract: A method is provided and includes acquiring a digital slide comprising objects of at least two sizes, the objects including a first object of a first size and a second object of a second size different from the first size, for each of the first object and the second object, acquiring images of a corresponding object in at least two scales based on the digital slide, where the acquired images of the corresponding object in the at least two scales include an image of a larger scale and an image of a smaller scale, the image of the larger scale having a smaller image size and a higher image resolution than the image of the smaller scale, and determining, from the images of the corresponding object in the at least two scales, an image having an image size that corresponds to a size of the corresponding object.
    Type: Application
    Filed: March 3, 2022
    Publication date: September 29, 2022
    Applicant: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
    Inventors: Liang WANG, Jia Rui SUN, Yan Chun ZHU, Jianhua YAO
  • Publication number: 20220277572
    Abstract: This application discloses an artificial intelligence-based image processing method, apparatus, device, and storage medium, and relates to the field of computer technology. The method includes: obtaining a slice image; dividing the slice image to obtain a plurality of image blocks; feeding the plurality of image blocks into a labeling model, extracting, by the labeling model, a pixel feature of the slice image based on the plurality of image blocks, determining a plurality of vertex positions of a polygonal region in the slice image based on the pixel feature, concatenating the plurality of vertex positions, and outputting label information of the slice image, the polygonal region being a region in which a target pathological tissue of interest is located.
    Type: Application
    Filed: May 20, 2022
    Publication date: September 1, 2022
    Inventors: Yuqi FANG, Niyun Zhou, Jianhua Yao
  • Publication number: 20220273376
    Abstract: This application discloses a spatial positioning method and related apparatus, and a navigation stick.
    Type: Application
    Filed: May 17, 2022
    Publication date: September 1, 2022
    Inventors: Yixun Liu, Chenchen Qin, Jianhua Yao
  • Publication number: 20220253984
    Abstract: A computer device obtains a confocal microscopy image. The device determines a pinhole diameter of a first detector pinhole of a confocal microscope that is used to acquire the image. The pinhole diameter has an influence on a parameter of the image. The device obtains a target image processing model corresponding to the pinhole diameter of the first detector pinhole. The target image processing model is configured to improve the parameter of the image. The device causes the target image processing model to process the image to obtain a target image having the improved parameter.
    Type: Application
    Filed: April 28, 2022
    Publication date: August 11, 2022
    Inventors: Jun Liao, Jianhua Yao
  • Patent number: 11406958
    Abstract: The present disclosure relates generally processes and systems for converting a C2-C7 light alkanes feed to liquid transportation fuels or value-added chemicals. The feed is contacted with an aromatization catalyst at a temperature and pressure that selectively converts C4 and larger alkanes to an intermediate product comprising monocyclic aromatics and olefins. Following separation of the aromatics and C5+ hydrocarbons from the intermediate product, unconverted C2-C3 alkanes are thermally-cracked to produce olefins that are subsequently oligomerized to produce a liquid transportation fuel blend stock or value-added chemicals.
    Type: Grant
    Filed: November 11, 2020
    Date of Patent: August 9, 2022
    Assignee: Phillips 66 Company
    Inventors: Jianhua Yao, Neal D. McDaniel, Bruce B. Randolph, Robert M. Walston, Anthony O. Baldridge, James A. Suttil, Soumen Kundu, Hong Xie, Steven E. Lusk
  • Publication number: 20220222932
    Abstract: Embodiments of this application disclose a method and apparatus for training an image region segmentation model, and an image region segmentation method and apparatus. The method includes acquiring a sample image set, and each image of the sample image set having first annotation information; generating graph structure data corresponding to a sample image in the sample image set, the graph structure data comprising multiple nodes, and each node comprising at least one pixel in the sample image; determining second annotation information of each node according to the graph structure data and the first annotation information corresponding to the sample image by using a graph convolutional network model, a granularity of the second annotation information being smaller than a granularity of the first annotation information, the graph convolutional network model being a part of an image segmentation model; and training the image segmentation model according to the second annotation information.
    Type: Application
    Filed: March 29, 2022
    Publication date: July 14, 2022
    Applicant: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
    Inventors: Jun ZHANG, Kuan TIAN, Kezhou YAN, Jianhua YAO, Xiao HAN
  • Publication number: 20220222925
    Abstract: An artificial intelligence-based image processing method includes: obtaining a first sample image of a source domain and a second sample image of a target domain, the first sample image of the source domain carrying a corresponding target processing result; converting the first sample image into a target sample image, the target sample image carrying a corresponding target processing result; training a first image processing model based on the target sample image and the target processing result corresponding to the target sample image, to obtain a second image processing model; and inputting, in response to obtaining a human tissue image of the target domain, the human tissue image into the second image processing model, positioning, by the second image processing model, a target human tissue in the human tissue image, and outputting position information of the target human tissue in the human tissue image.
    Type: Application
    Filed: March 31, 2022
    Publication date: July 14, 2022
    Inventors: Han ZHENG, Hong SHANG, Xiaoning WANG, Jianhua YAO
  • Publication number: 20220207862
    Abstract: An image analysis method includes: obtaining an image; performing image classification on the image by using an image classification network, to obtain an image classification result of an image category of the image, the image category including a first category and a second category different from the first category; performing object detection on the image by using an object detection network, to obtain an object detection result of a target object associated with the first category; and generating an image analysis result of the image based on the image classification result and the object detection result.
    Type: Application
    Filed: March 18, 2022
    Publication date: June 30, 2022
    Inventors: Xiaoning WANG, Jianhua YAO, Hong SHANG, Han ZHENG
  • Publication number: 20220189017
    Abstract: A medical image processing method and apparatus, and an image processing method and apparatus, terminal and storage medium that obtains a to-be-processed medical image; generates a difference image according to the first image data, the second image data, and the third image data included in the to-be-processed medical image; and performs binarization processing on the difference image to obtain a binarized image, a foreground region of the binarized image corresponding to a pathological tissue region of the to-be-processed medical image. A difference image is generated based on color information of different channels before binarization processing is performed on an image, thereby effectively using the color information in the image. The pathological tissue region extracted based on the difference image is more accurate and facilitates subsequent image analysis.
    Type: Application
    Filed: March 3, 2022
    Publication date: June 16, 2022
    Applicant: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
    Inventors: Liang WANG, Hanbo CHEN, Jiarui SUN, Yanchun ZHU, Jianhua YAO
  • Publication number: 20220189136
    Abstract: An image generation method, apparatus, device, and storage medium. The method includes: obtaining contour information and target region information; determining at least one target contour according to the contour information and the target region information, the at least one target contour wholly or partly located in a target region; decreasing first coordinates of a plurality of contour points in the at least one target contour to obtain second location information, second location information of the at least one target contour includes second coordinates of a plurality of contour points in the at least one target contour, and the first coordinates of the plurality of contour points in the at least one target contour having a same decreasing extent; and generating a target image corresponding to the target region according to the second location information of the at least one target contour and the target region information.
    Type: Application
    Filed: March 2, 2022
    Publication date: June 16, 2022
    Applicant: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
    Inventors: Liang WANG, Jiarui SUN, Yanchun ZHU, Jianhua YAO
  • Publication number: 20220189142
    Abstract: An AI-based object classification method and apparatus, a computer-readable storage medium, and a computer device. The method includes: obtaining a target image to be processed, the target image including a target detection object; separating a target detection object image of the target detection object from the target image; inputting the target detection object image into a feature object prediction model to obtain a feature object segmentation image of a feature object in the target detection object image; obtaining quantitative feature information of the target detection object according to the target detection object image and the feature object segmentation image; and classifying the target detection object image according to the quantitative feature information to obtain category information of the target detection object in the target image.
    Type: Application
    Filed: March 4, 2022
    Publication date: June 16, 2022
    Applicant: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
    Inventors: Liang WANG, Jiarui SUN, Rongbo SHEN, Cheng JIANG, Yanchun ZHU, Jianhua YAO