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Title:
IMAGE DETECTION METHOD AND RELEVANT MODEL TRAINING METHOD, RELEVANT APPARATUSES, AND DEVICE
Document Type and Number:
WIPO Patent Application WO/2021/218215
Kind Code:
A1
Abstract:
Provided are an image detection method and a relevant model training method, relevant apparatuses, and a device. The image detection model training method comprises: acquiring a sample medical image, an actual region of at least one unlabeled organ being pseudo-labeled on the sample medical image; using an original detection model to detect the sample medical image, so as to obtain a first detection result comprising a first prediction region of the unlabeled organ; using the image detection model to detect the sample medical image to obtain a second detection result comprising a second prediction region of the unlabeled organ, the network parameters of the image detection model being determined on the basis of the network parameters of the original detection model; and adjusting the network parameters of the original detection model by using a difference between the first prediction region and the actual region and a difference between the first prediction region and the second prediction region, respectively.

Inventors:
HUANG RUI (CN)
HU ZHIQIANG (CN)
ZHANG SHAOTING (CN)
LI HONGSHENG (CN)
Application Number:
PCT/CN2020/140325
Publication Date:
November 04, 2021
Filing Date:
December 28, 2020
Export Citation:
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Assignee:
SHANGHAI SENSETIME INTELLIGENT TECH CO LTD (CN)
International Classes:
G06T7/00
Foreign References:
CN111539947A2020-08-14
CN110097557A2019-08-06
CN110188829A2019-08-30
CN109166107A2019-01-08
CN109658419A2019-04-19
US20090116737A12009-05-07
Attorney, Agent or Firm:
CHINA PAT INTELLECTUAL PROPERTY OFFICE (CN)
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