Machine Learning Based on Computed Tomography Pulmonary Angiography in Evaluating Pulmonary Artery P...
Machine Learning Based on Computed Tomography Pulmonary Angiography in Evaluating Pulmonary Artery Pressure in Patients with Pulmonary Hypertension
About this item
Full title
Author / Creator
Zhang, Nan , Zhao, Xin , Li, Jie , Huang, Liqun , Li, Haotian , Feng, Haiyu , Garcia, Marcos A , Cao, Yunshan , Sun, Zhonghua and Chai, Senchun
Publisher
Switzerland: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Switzerland: MDPI AG
Subjects
More information
Scope and Contents
Contents
Right heart catheterization is the gold standard for evaluating hemodynamic parameters of pulmonary circulation, especially pulmonary artery pressure (PAP) for diagnosis of pulmonary hypertension (PH). However, the invasive and costly nature of RHC limits its widespread application in daily practice.
To develop a fully automatic framework for PA...
Alternative Titles
Full title
Machine Learning Based on Computed Tomography Pulmonary Angiography in Evaluating Pulmonary Artery Pressure in Patients with Pulmonary Hypertension
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9962514
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9962514
Other Identifiers
ISSN
2077-0383
E-ISSN
2077-0383
DOI
10.3390/jcm12041297
