SELF-SUPERVISED LEARNING METHOD AND APPLICATION - NAT INSTITUTE OF ADVANCED MEDICAL DEVICES SHENZHEN

Title:

SELF-SUPERVISED LEARNING METHOD AND APPLICATION

Document Type and Number:

WIPO Patent Application WO/2022/011690

Kind Code:

A1

Abstract:

A self-supervised learning method and an application, the method comprising: modeling image noise; generating an approximate target pixel value of a current pixel from a low-dose CT image, and obtaining a target pixel point; randomly cropping image blocks from a low-dose CT input image, randomly selecting N pixel points from the image blocks, and replacing the target pixel points with currently selected pixel points to obtain a target image; and training a network to gradually reach a state of convergence. Thus, a network can be trained end-to-end without manual intervention, and noise reduction can be achieved.

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Inventors:

JIANG HONGWEI (CN)
ZHENG HAIRONG (CN)
LI YANMING (CN)
WAN LIWEN (CN)

Application Number:

PCT/CN2020/102732

Publication Date:

January 20, 2022

Filing Date:

July 17, 2020

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Assignee:

NAT INSTITUTE OF ADVANCED MEDICAL DEVICES SHENZHEN (CN)

International Classes:

G06N3/00

Domestic Patent References:

WO2019147767A1

2019-08-01

Foreign References:

CN111260055A	2020-06-09
CN109035169A	2018-12-18
CN110599420A	2019-12-20

Attorney, Agent or Firm:

BEIJING CHENGHUI LAW FIRM (CN)

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