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Updated: Jun 21, 2025

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations
Published on: January 8, 2013
Deep Learning Resolves Myovascular Dynamics in the Failing Human Heart
Anish Karpurapu1, Helen A Williams1, Paige DeBenedittis1
1Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA.
None:
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.
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