Deep Learning Resolves Myovascular Dynamics in the Failing Human Heart.
JACC Basic Transl Sci
; 9(5): 674-686, 2024 May.
Article
en En
| MEDLINE
| ID: mdl-38984052
ABSTRACT
The adult mammalian heart harbors minute levels of cycling cardiomyocytes (CMs). Large numbers of images are needed to accurately quantify cycling events using microscopy-based methods. CardioCount is a new deep learning-based pipeline to rigorously score nuclei in microscopic images. When applied to a repository of 368,434 human microscopic images, we found evidence of coupled growth between CMs and cardiac endothelial cells in the adult human heart. Additionally, we found that vascular rarefaction and CM hypertrophy are interrelated in end-stage heart failure. CardioCount is available for use via GitHub and via Google Colab for users with minimal machine learning experience.
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Idioma:
En
Revista:
JACC Basic Transl Sci
Año:
2024
Tipo del documento:
Article
País de afiliación:
Estados Unidos