Predicting long-term time to cardiovascular incidents using myocardial perfusion imaging and deep convolutional neural networks

Abstract Myocardial perfusion imaging (MPI) is a clinical tool which can assess the heart's perfusion status, thereby revealing impairments in patients' cardiac function. Within the MPI modality, the acquired three-dimensional signals are typically represented as a sequence of two-dimensio...

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Bibliographic Details
Main Authors: Yi-Lian Li, Hsin-Bang Leu, Chien-Hsin Ting, Su-Shen Lim, Tsung-Ying Tsai, Cheng-Hsueh Wu, I-Fang Chung, Kung-Hao Liang
Format: Article
Language:English
Published: Nature Portfolio 2024-02-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-024-54139-0