A Comparative Study of Convolutional Neural Network Architectures for Estimating the Depth of Vein Structures in Near-Infrared Transillumination Imaging
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DOI: 10.1109/access.2025.3633201
Abstract: Near-infrared transillumination imaging offers a non-invasive, radiation-free approach for visualizing subcutaneous vascular structures. However, its utility is hindered by light scattering and the challenges of extracting accurate depth information. This study investigated deep learning models… read more here.
Keywords: transillumination imaging; transillumination; estimating depth; infrared transillumination ... See more keywords