Article

Generative Adversarial Network Model to Classify Human Induced Pluripotent Stem Cell-Cardiomyocytes based on Maturation Level

2024-03-11

Abstract excerpt

<title>Abstract</title> <p><italic>Objective:</italic> Our study develops a generative adversarial network (GAN)-based method that generates faithful synthetic image data of human cardiomyocytes at varying stages in their maturation process, as a tool to significantly enhance the classification accuracy of cells and ultimately assist the throughput of computational analysis of cellular structure and functions. <i...

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Literature Corpus work: 06b2d143-5a1c-54d1-a17e-fb59910bf205
DOI: 10.21203/rs.3.rs-4061531/v1

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