Towards a Deep-Learning Approach for Prediction of Fractional Flow Reserve from Optical Coherence Tomography

Towards a Deep-Learning Approach for Prediction of Fractional Flow Reserve from Optical Coherence Tomography

Cardiovascular disease (CVD) is the number one cause of death worldwide, and coronary artery disease (CAD) is the most prevalent CVD, accounting for 42% of these deaths. In view of the limitations of the anatomical evaluation of CAD, Fractional Flow Reserve (FFR) has been introduced as a functional...

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Bibliographic Details
Main Authors: Cosmin-Andrei Hatfaludi, Irina-Andra Tache, Costin Florian Ciușdel, Andrei Puiu, Diana Stoian, Lucian Mihai Itu, Lucian Calmac, Nicoleta-Monica Popa-Fotea, Vlad Bataila, Alexandru Scafa-Udriste
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Applied Sciences
Subjects:
deep-learning
few-shot learning
ensemble models
coronary artery disease
optical coherence tomography
fractional flow reserve
Online Access:https://www.mdpi.com/2076-3417/12/14/6964

Internet

https://www.mdpi.com/2076-3417/12/14/6964

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