Advances in the application of deep learning based on CT images in pulmonary thromboembolism
CHEN Rong
YANG Yue
YU Yaxi
YANG Fei
Abstract：Pulmonary thromboembolism(PTE)is a group of pathophysiological with respiratory and circulatory disor-ders syndromes caused by endogenous or exogenous emboli that require timely diagnosis and improved prognosis.Deep learning based on CT can deeply analyze PTE disease characteristics and plays an important role in the formulation of PTE diagnosis and treatment strategies,as well as the evaluation of thrombus burden.This paper summarizes the application value and progress of deep learning based on CT images in PTE.
Keywords：Pulmonary thromboembolismCT pulmonary angiographyDeep learning
Publication Date：2024-03-15
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 219-222 )