Deep Learning Based Prediction of Pulmonary Hypertension in Newborns Using Echocardiograms
Pulmonary hypertension (PH) in newborns and infants is a complex condition associated with several pulmonary, cardiac, and systemic diseases contributing to morbidity and mortality. Thus, accurate and early detection of PH and the classification of its severity is crucial for appropriate and success...
Main Authors: | Ragnarsdottir, Hanna, Ozkan, Ece, Michel, Holger, Chin-Cheong, Kieran, Manduchi, Laura, Wellmann, Sven, Vogt, Julia E. |
---|---|
Format: | Article |
Language: | English |
Published: |
Springer US
2024
|
Online Access: | https://hdl.handle.net/1721.1/153498 |
Similar Items
-
Pulmonary hypertension and echocardiogram parameters in obstructive sleep apnea
by: Wong, Hui Tong, et al.
Published: (2017) -
Deep learning interpretation of echocardiograms
by: Amirata Ghorbani, et al.
Published: (2020-01-01) -
Electrocardiogram, Echocardiogram and NT-proBNP in Screening for Thromboembolism Pulmonary Hypertension in Patients after Pulmonary Embolism
by: Olga Dzikowska-Diduch, et al.
Published: (2022-12-01) -
Deep learning evaluation of echocardiograms to identify occult atrial fibrillation
by: Neal Yuan, et al.
Published: (2024-04-01) -
Fuzzy-based echocardiogram boundary enhancement
by: Chan, Sheila Oi Yip
Published: (2007)