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Dual Generators and Dynamically Fused Discriminators Adversarial Network to Create Synthetic Coronary Optical Coherence Tomography Images for Coronary Artery Disease Classification

2025-03-07

Abstract excerpt

Deep neural networks have led to a substantial incursion for multifaceted classification tasks by making use of large-scale and diverse annotated datasets. However, diverse optical coherence tomography (OCT) datasets in the cardiovascular imaging remains an uphill task. This research focuses on improving the diversity and generalization ability of augmentation architectures while maintaining the baseline classific...

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Literature Corpus work
e52d172e-af32-5450-bae1-8d9a936e21af
DOI
10.20944/preprints202503.0487.v1
Open publication

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Dual Generators and Dynamically Fused Discriminators Adversarial Network to Create Synthetic Coronary Optical Coherence Tomography Images for Coronary Artery Disease ClassificationDOI 10.20944/preprints202503.0487.v1
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