公开(公告)号：US20230229927A1

公开(公告)日：2023-07-20

申请号：US18008426

申请日：2021-06-03

Applicant: DEEP BIO INC.

Inventor： Sun Woo KIM ,  Tae Yeong KWAK ,  Hye Yoon CHANG ,  Ye Chan MUN

IPC: G06N3/09 ,  G06N3/0455 ,  G06T7/00

CPC classification number: G06N3/09 ,  G06N3/0455 ,  G06T7/0012 ,  G06T2207/30096 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/20076 ,  G06T2207/20021

Abstract: The present disclosure discloses a method and system for training a neural network for determining severity, and more particularly, a method and system which may effectively learn a neural network performing patch unit severity diagnosis using a pathological slide image to which a severity indication (label) is given.

公开(公告)号：US20230244930A1

公开(公告)日：2023-08-03

申请号：US18008407

申请日：2021-06-03

Applicant: DEEP BIO INC.

Inventor： Sun Woo KIM ,  Tae Yeong KWAK ,  Ye Chan MUN

IPC: G06N3/08

CPC classification number: G06N3/08

Abstract: The present disclosure relates to a neural network training method and a computing system for performing the same, and more specifically, the neural network training method, which may enhance performance of a neural network even with little training data and the computing system for performing the same by using an auto-encoder and a multiple instance training method and extracting many data instances from one data bag as instances for training.