Fully automated epicardial adipose tissue volume quantification with deep learning and relationship with CAC score and micro/macrovascular complications in people living with type 2 diabetes: the multicenter EPIDIAB study - Concepedia

Concepedia

Publication | Open Access

Fully automated epicardial adipose tissue volume quantification with deep learning and relationship with CAC score and micro/macrovascular complications in people living with type 2 diabetes: the multicenter EPIDIAB study

DOI Full Paper Access

15

Citations

32

References

2024

Year

Bénédicte Gaborit, Jean‐Baptiste Julla, Joris Fournel, Patricia Ancel, Astrid Soghomonian, Camille Deprade, Adèle Lasbleiz, Marie Houssays, Badih Ghattas, Pierre Gascon,

Cardiovascular Diabetology

Abstract

Fully-automated EAT volume quantification could provide useful information about the risk of both renal and macrovascular complications in T2D patients.

References

	Year	Citations

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