AI-Driven segmentation and morphogeometric profiling of epicardial adipose tissue in type 2 diabetes

AI-Driven segmentation and morphogeometric profiling of epicardial adipose tissue in type 2 diabetes

Abstract Background Epicardial adipose tissue (EAT) is associated with cardiometabolic risk in type 2 diabetes (T2D), but its spatial distribution and structural alterations remain understudied. We aim to develop a shape-aware, AI-based method for automated segmentation and morphogeometric analysis...

Full description

Saved in:
Bibliographic Details
Main Authors: Fan Feng, Abdallah I. Hasaballa, Ting Long, Xinyi Sun, Justin Fernandez, Carl-Johan Carlhäll, Jichao Zhao
Format: Article
Language:English
Published: BMC 2025-07-01
Series:Cardiovascular Diabetology
Subjects:
Epicardial adipose tissue
Type 2 diabetes
MRI
Multi-modal deep learning
Statistical shape analysis
Online Access:https://doi.org/10.1186/s12933-025-02829-y
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s12933-025-02829-y

Similar Items