A novel deep learning model for a computed tomography diagnosis of coronary plaque erosion

A novel deep learning model for a computed tomography diagnosis of coronary plaque erosion

Abstract Patients with acute coronary syndromes caused by plaque erosion might be managed conservatively without stenting. Currently, the diagnosis of plaque erosion requires an invasive imaging procedure. We sought to develop a deep learning (DL) model that enables an accurate diagnosis of plaque e...

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Bibliographic Details
Main Authors: Sangjoon Park, Haruhito Yuki, Takayuki Niida, Keishi Suzuki, Daisuke Kinoshita, Iris McNulty, Alexander Broersen, Jouke Dijkstra, Hang Lee, Tsunekazu Kakuta, Jong Chul Ye, Ik-Kyung Jang
Format: Article
Language:English
Published: Nature Portfolio 2023-12-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-50483-9

Internet

https://doi.org/10.1038/s41598-023-50483-9

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