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A Deep Learning-Enabled Toolkit for the 3D Segmentation of Ventricular Cardiomyocytes

2025-03-24

Abstract excerpt

Segmentation of cardiomyocytes in microscopic 3D volumes is key to our understanding of cardiac (patho-)physiology; however, it poses substantial experimental and analytical challenges. Therefore, researchers often resort to inferring 3D information from 2D segmentations, assuming rotational symmetry in the third direction which can lead to biased or even incorrect conclusions. Deep learning-based methods are show...

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Literature Corpus work
0dcd9c6e-c22e-5804-a2d7-ccf1124999dd
DOI
10.22541/au.173697566.64378528/v2
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A Deep Learning-Enabled Toolkit for the 3D Segmentation of Ventricular CardiomyocytesDOI 10.22541/au.173697566.64378528/v2
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