A comprehensive review on the application value of deep learning in the imaging examination of breast diseases
Xin Hui
Wang Lei
Cao Xue
Meng Lingqian
Chang Lei
Wan Hong'e
Abstract：Breast cancer is the most common type of cancer causing death in women,seriously threatening women's health.Increasing the detection rate of breast cancer and reducing its mortality rate have always been our direction of exploration.In recent years,the clinical application of artificial intelligence-assisted detection in mammography has provided us with more efficient,convenient,and accurate examination methods in this field,providing a good way for the early detection of breast cancer.This article reviews the latest research progress in the clinical application value of deep learning in mammography.
Keywords：Breast diseasesBreast cancerArtificial intelligenceImaging examinationDeep learning
Publication Date：2024-08-28
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 52-57 )