Method for constructing chromosome abnormality prediction model based on fetus ultrasonic image feature omics and diagnostic equipment

Abstract

The invention relates to a method for constructing a chromosome abnormality prediction model based on fetus ultrasonic image feature omics and diagnostic equipment. The model construction method comprises the steps: acquiring three ROI target area images in an ultrasonic image of a fetus with normal chromosomes and three ROI target area images in an ultrasonic image of a fetus with abnormal chromosomes respectively, wherein the three ROI target area images comprise a fetus posterior neck area, a face area and a midbrain area; extracting features of the ROI target area images; fusing the extracted features of the ROI target area image to obtain a classification result that the chromosome of the fetus in the ultrasonic image is normal or abnormal; comparing the obtained classification result with a manual classification result of a doctor, and optimizing the classifier according to a comparison result; and obtaining a chromosome abnormality prediction model. The method starts from clinical practical problems during model construction, and has important clinical application and popularization value.

Description

technical field [0001] The present invention relates to the field of intelligent medical technology, and more specifically, relates to a method for constructing a chromosomal abnormality prediction model based on fetal ultrasonic imaging featureomics, a risk diagnosis system, a risk diagnosis device, and a computer-readable storage medium. Background technique [0002] Chromosomal abnormalities include trisomy 21, trisomy 18, trisomy 13, sex chromosome abnormalities and other chromosomal aberrations, especially Down syndrome (DS), also known as trisomy 21, is the most common chromosomal abnormality. Ploidy abnormalities, and the risk of developing the disease increases in pregnant women of advanced age. Fetal chromosomal abnormalities have not only brought a heavy burden to the families of the children, but also to the society. There is no effective treatment for them. Improve the level of prenatal screening and diagnosis, and increase screening efforts to The importance of...

AI Technical Summary

Problems solved by technology

However, there is currently no intelligent diagnostic system for clinical fetal ultrasound images of chromosomal abnormalities

Images