公开(公告)号：US12169926B2

公开(公告)日：2024-12-17

申请号：US17266090

申请日：2019-08-07

Applicant: DEEP BIO INC.

Inventor： Joon Young Cho ,  Sun Woo Kim

IPC: G06T7/00 ,  A61B5/00 ,  G06N3/045 ,  G16H30/40 ,  G16H50/20 ,  G16H50/30

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.

公开(公告)号：US12062450B2

公开(公告)日：2024-08-13

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 ,  G06F18/24 ,  G06T7/00 ,  G06T7/11 ,  G16H30/20 ,  G16H30/40 ,  G06V10/70

CPC classification number: G16H50/20 ,  G06F18/24 ,  G06T7/0012 ,  G06T7/11 ,  G16H30/20 ,  G16H30/40 ,  G06V10/70

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.

公开(公告)号：US12148151B2

公开(公告)日：2024-11-19

申请号：US17271214

申请日：2019-08-07

Applicant: DEEP BIO INC.

Inventor： Joon Young Cho ,  Sun Woo Kim

IPC: G06T11/00 ,  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.