中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

8 records (took 0.013 seconds)

    METHOD FOR ANALYZING OUTPUT OF NEURAL NETWORK, AND SYSTEM THEREFOR
    2.
    发明公开
    METHOD FOR ANALYZING OUTPUT OF NEURAL NETWORK, AND SYSTEM THEREFOR 审中-公开

    公开(公告)号：US20240055104A1

    公开(公告)日：2024-02-15

    申请号：US18271231

    申请日：2021-03-29

    Applicant: DEEP BIO INC.

    Inventor： Min Ah CHO ,  Joon Young CHO ,  Tae Yeong KWAK ,  Sun Woo KIM

    IPC: G16H30/40 ,  G06N3/047 ,  G06N3/08 ,  G16H50/70

    CPC classification number: G16H30/40 ,  G06N3/047 ,  G06N3/08 ,  G16H50/70

    Abstract: A method for analyzing an output of a neural network that analyzes an output result of a neural network trained so as to output a disease expression probability for each biological image pixel includes, depending on whether an output result value of the neural network for each pixel is equal to or greater than a reference value, an output analysis system determines the optimal output result value which is a reference value for detecting whether a disease is expressed in the corresponding pixel; determining an optimal cut-off value for determining whether a detected lesion site is effective with respect to a detected lesion in a biological image; and, when the output analysis system receives an output result corresponding to a diagnostic biometric image to be diagnosed, performing an output analysis on the output result by using the optimal reference value and the optimal cut-off value.

    DISEASE DIAGNOSIS SYSTEM AND METHOD FOR PERFORMING SEGMENTATION BY USING NEURAL NETWORK AND UNLOCALIZED BLOCK
    3.
    发明申请
    DISEASE DIAGNOSIS SYSTEM AND METHOD FOR PERFORMING SEGMENTATION BY USING NEURAL NETWORK AND UNLOCALIZED BLOCK 有权

    公开(公告)号：US20220301712A1

    公开(公告)日：2022-09-22

    申请号：US17626806

    申请日：2020-07-10

    Applicant: DEEP BIO INC.

    Inventor： Sun Woo KIM ,  Joon Young CHO ,  Sang Hun LEE

    IPC: G16H50/20 ,  G16H30/20 ,  G16H30/40

    Abstract: A disease diagnosis system uses a slide of a biological image and the neural network, the disease diagnosis system including a patch-level segmentation neural network that receives, for each predetermined patch in which the slide is divided into a predetermined size, the patch as an input layer so as to specify the area in which the disease in the patch exists, wherein the patch-level segmentation neural network comprises: a patch-level classification neural network, which receives the patch as an input layer so as to output a patch-level classification result about whether the disease exists in the patch; and a patch-level segmentation architecture, which receives a feature map generated in each of two or more feature map extraction layers from among hidden layers included in the patch-level classification neural network, so as to specify the area in which the disease in the patch exists.

    SYSTEM AND METHOD FOR DIAGNOSING DISEASE USING NEURAL NETWORK PERFORMING SEGMENTATION
    5.
    发明申请
    SYSTEM AND METHOD FOR DIAGNOSING DISEASE USING NEURAL NETWORK PERFORMING SEGMENTATION 有权

    公开(公告)号：US20210248745A1

    公开(公告)日：2021-08-12

    申请号：US17271214

    申请日：2019-08-07

    Applicant: DEEP BIO INC.

    Inventor： Joon Young CHO ,  Sun Woo KIM

    IPC: G06T7/00 ,  G06T7/11 ,  G06T7/90

    Abstract: A system for diagnosing a disease, implemented in a system and which uses a slide of a biological image, and a neural network, includes a patch level segmentation neural network which, for each patch in which the slide is divided into a predetermined size, receives the patch through an input layer and specifies an area in which a disease exists in the patch, wherein the patch level segmentation neural network is provided with a disease diagnosis system including a patch level classification neural network which receives the patch through an input layer and outputs a patch level classification result regarding whether the disease exists in the patch, and a patch level segmentation architecture which receives a feature map generated in each of plural feature extraction layers among hidden layers included in the patch level classification neural network and specifies an area in which a disease exists in the patch.

    SYSTEM AND METHOD FOR DISEASE DIAGNOSIS USING NEURAL NETWORK
    8.
    发明申请
    SYSTEM AND METHOD FOR DISEASE DIAGNOSIS USING NEURAL NETWORK 有权

    公开(公告)号：US20210304405A1

    公开(公告)日：2021-09-30

    申请号：US17266090

    申请日：2019-08-07

    Applicant: DEEP BIO INC.

    Inventor： Joon Young CHO ,  Sun Woo KIM

    IPC: G06T7/00 ,  G16H30/40 ,  A61B5/00 ,  G16H50/20 ,  G16H50/30 ,  G06N3/04

    Abstract: A system for disease diagnosis includes a patch neural network for generating a patch-level diagnostic result of whether or not a disease is present in each of predetermined patches formed by dividing a slide into a predetermined size; a heat map generation module for generating a patch-level heat map image corresponding to the biometric image obtained from the slide on the basis of the patch diagnostic results of the respective multiple patches included in the slide; a tissue mask generation module for generating a tissue mask image corresponding to the biometric image obtained from the slide on the basis of a hue-saturation-value (HSV) model corresponding to the slide; and a visualization module for generating a disease diagnostic visualization image corresponding to the biometric image obtained from the slide on the basis of the patch-level heat map image and the tissue mask image.

Patent Agency Ranking