The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 24, 2023

Filed:

Oct. 04, 2019
Applicant:

Deep Bio Inc., Seoul, KR;

Inventors:

Tae Yeong Kwak, Seoul, KR;

Sang Hun Lee, Seoul, KR;

Sun Woo Kim, Seongnam-si, KR;

Assignee:

DEEP BIO INC., Seoul, KR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G16H 50/20 (2018.01); G16H 30/40 (2018.01); G06N 3/088 (2023.01); G06T 7/00 (2017.01); G06N 3/045 (2023.01); G06F 18/214 (2023.01);
U.S. Cl.
CPC ...
G16H 50/20 (2018.01); G06N 3/045 (2023.01); G06N 3/088 (2013.01); G06T 7/0014 (2013.01); G16H 30/40 (2018.01); G06F 18/2148 (2023.01); G06T 2207/30081 (2013.01); G06V 2201/03 (2022.01);
Abstract

A system for searching for a pathological image includes: an autoencoder having an encoder for receiving an original pathological image and extracting a feature of the original pathological image, and a decoder for receiving the feature of the original pathological image extracted by the encoder and generating a reconstructed pathological image corresponding to the original pathological image; a diagnostic neural network for receiving the reconstructed pathological image generated by the autoencoder that has received the original pathological image, and outputting a diagnosis result of a predetermined disease; and a training module for training the autoencoder and the diagnostic neural network by inputting a plurality of training pathological images, each labeled with a diagnosis result, into the autoencoder. The autoencoder is trained by reflecting the diagnosis result of the reconstructed pathological image output from the diagnostic neural network.


Find Patent Forward Citations

Loading…