• Patent Title: DISEASE DIAGNOSIS SYSTEM AND METHOD FOR PERFORMING SEGMENTATION BY USING NEURAL NETWORK AND UNLOCALIZED BLOCK
  • Application No.: US17626806
    Application Date: 2020-07-10
  • Publication No.: US20220301712A1
    Publication Date: 2022-09-22
  • Inventor: Sun Woo KIMJoon Young CHOSang Hun LEE
  • Applicant: DEEP BIO INC.
  • Applicant Address: KR Seoul
  • Assignee: DEEP BIO INC.
  • Current Assignee: DEEP BIO INC.
  • Current Assignee Address: KR Seoul
  • Priority: KR10-2019-0084814 20190713
  • International Application: PCT/KR2020/009096 WO 20200710
  • Main IPC: G16H50/20
  • IPC: G16H50/20 G16H30/20 G16H30/40
DISEASE DIAGNOSIS SYSTEM AND METHOD FOR PERFORMING SEGMENTATION BY USING NEURAL NETWORK AND UNLOCALIZED BLOCK
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.
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