Patents by Inventor Yanfeng DONG

Yanfeng DONG 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).

  • Apparatus for collagen evaluation and prognostic prediction of colorectal cancer and storage medium
    Patent number: 11990241
    Abstract: A computer readable storage medium is provided. When contents of the computer readable storage medium are executed by a processor, multi-photon imaging may be performed on a histopathological section containing tumor environment information, and pathological partitioning of a tumor microenvironment may be further performed through image processing. A value of each collagen feature parameters, such as a morphological feature parameter, an energy feature parameter and a texture feature parameter, may be extracted from a tumor tissue region, an invasive margin (IM) region and a normal tissue (N) region. An inter-region difference and a variation may be calculated according to feature parameters of regions. A collagen feature scoring model may be established. A collagen feature score may be calculated with the collagen feature parameters input to the model.
    Type: Grant
    Filed: November 15, 2022
    Date of Patent: May 21, 2024
    Assignee: SHENZHEN PEOPLE'S HOSPITAL
    Inventors: Jun Yan, Shumin Dong, Botao Yan, Weisheng Chen, Xiaoyu Dong, Xiumin Liu, Shuhan Zhao, Jiaxin Cheng, Yanfeng Dong, Wei Jiang, Dexin Chen, Guoxin Li
  • APPARATUS FOR COLLAGEN EVALUATION AND PROGNOSTIC PREDICTION OF COLORECTAL CANCER AND STORAGE MEDIUM
    Publication number: 20240096491
    Abstract: A computer readable storage medium is provided. When contents of the computer readable storage medium are executed by a processor, multi-photon imaging may be performed on a histopathological section containing tumor environment information, and pathological partitioning of a tumor microenvironment may be further performed through image processing. A value of each collagen feature parameters, such as a morphological feature parameter, an energy feature parameter and a texture feature parameter, may be extracted from a tumor tissue region, an invasive margin (IM) region and a normal tissue (N) region. An inter-region difference and a variation may be calculated according to feature parameters of regions. A collagen feature scoring model may be established. A collagen feature score may be calculated with the collagen feature parameters input to the model.
    Type: Application
    Filed: November 15, 2022
    Publication date: March 21, 2024
    Inventors: Jun YAN, Shumin DONG, Botao YAN, Weisheng CHEN, Xiaoyu DONG, Xiumin LIU, Shuhan ZHAO, Jiaxin CHENG, Yanfeng DONG, Wei JIANG, Dexin CHEN, Guoxin LI
  • Method for treating production wastewater from the preparation of propylene oxide by co-oxidation
    Patent number: 11746033
    Abstract: Method for treating production wastewater from the preparation of propylene oxide by co-oxidation. The wastewater includes a first portion of wastewater having a peroxide content of 2000 mg/L or more and a second portion of wastewater having a peroxide content of 50 mg/L or less.
    Type: Grant
    Filed: December 19, 2019
    Date of Patent: September 5, 2023
    Assignee: Wanhua Chemical Group Co., Ltd.
    Inventors: Zhenlong Fan, Yanfeng Dong, Fanxue Zeng, Jianchu Ye, Bingwen Leng, Genhai Yu, Xinchun He, Hongke Zhang
  • METHOD FOR TREATING PRODUCTION WASTEWATER FROM THE PREPARATION OF PROPYLENE OXIDE BY CO-OXIDATION
    Publication number: 20220306506
    Abstract: Method for treating production wastewater from the preparation of propylene oxide by co-oxidation. The wastewater includes a first portion of wastewater having a peroxide content of 2000 mg/L or more and a second portion of wastewater having a peroxide content of 50 mg/L or less.
    Type: Application
    Filed: December 19, 2019
    Publication date: September 29, 2022
    Inventors: Zhenlong FAN, Yanfeng DONG, Fanxue ZENG, Jianchu YE, Bingwen LENG, Genhai YU, Xinchun HE, Hongke ZHANG