Invention Application
- Patent Title: DISEASE DIAGNOSIS SYSTEM AND METHOD FOR PERFORMING SEGMENTATION BY USING NEURAL NETWORK AND UNLOCALIZED BLOCK
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Application No.: US17626806Application Date: 2020-07-10
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Publication No.: US20220301712A1Publication Date: 2022-09-22
- Inventor: Sun Woo KIM , Joon Young CHO , Sang 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

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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