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Data Augmentation Method for Increasing Biological Diversity in Biomedical Image Datasets
This invention is a data augmentation method to enhance a biomedical imaging dataset used for deep learning applications. The approach involves using animal models of a disease combined with an unpaired domain translation framework to convert animal data to the human domain. The method is novel and valuable in that it increases biological diversity...
Published: 7/16/2026
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Updated: 7/16/2026
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Inventor(s): Travis Sawyer, Shuyuan Guan
Keywords(s):
Category(s): Technology Classifications > Imaging & Optics > Medical Imaging, Technology Classifications > Life Sciences > Diagnostics, Technology Classifications > Research Tools > Animal Models, Technology Classifications > Software & Information Technology > Health IT
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