Research progress of radiomics and deep learning in placenta accrete spectrum disorders
XU Xiaoyang
LIU Bihua
ZHENG Changye
Abstract：Prenatal diagnosis and prediction of prenatal accreta spectrum(PAS)disorders are particularly important for improving clinical outcomes of pregnant women.MRI has significant value in the diagnosis of PAS,but is of limited value in evaluating typing and predicting prognosis.Radiomics and deep learning can extract high throughput features from medical images for quantitative analysis of lesion heterogeneity,and has been gradually applied to the diagnosis,typing,and assessment of prognostic risk of PAS disorders.The research progress of radiomics and deep learning in PAS was reviewed.
Keywords：Placenta accreteMagnetic resonance imagingRadiomicsDeep learning
Publication Date：2024-01-15
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 88-91 )