METHOD AND APPARATUS FOR PREDICTING WHETHER LESION IS BENIGN OR MALIGNANT BASED ON DECOUPLING MECHANISM

WIPO Patent Application WO/2022/268231

A1

Provided in the present invention are a method and an apparatus for predicting whether a lesion is benign or malignant based on a decoupling mechanism. The method comprises: using a reconstruction constraint to extract all of the feature information of an input image containing a lesion; using a benign and malignant lesion classification information constraint to decouple features facilitating lesion classification from the extracted feature information; using a symptom information constraint to further decouple features related to the lesion, the symptom information including the size, shape, density, and edge shape of the lesion; using all of the decoupled features related to the lesion as inputs of the classifier for implementing learning; and using a learned model to predict whether the lesion is benign or malignant. In the present invention, the features related to a lesion can be distinguished from other features, enabling the acquisition of lesion attribute information such as the shape and edge of the lesion that need to be determined first in the process of clinical cancer diagnosis, thereby increasing the precision of predicting whether a lesion is benign or malignant.

ZHANG FANDONG (CN)
YU YIZHOU (CN)
LI YIMING (CN)
QIAO XIN (CN)

PCT/CN2022/104350

December 29, 2022

July 07, 2022

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HANGZHOU SHENRUI BOLIAN TECH CO LTD (CN)
BEIJING SHENRUI BOLIAN TECH CO LTD (CN)

G16H50/20; G06N3/04; G06N3/08; G06T7/00; G06T7/13

CN113539477A	2021-10-22
CN111325743A	2020-06-23
CN108257135A	2018-07-06
CN111915576A	2020-11-10
CN107273925A	2017-10-20
CN111243042A	2020-06-05
US20170337687A1	2017-11-23

BEIJING TIANFANG INTELLECTUAL PROPERTY AGENCY (GENERAL PARTNERSHIP) (CN)

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