A Comparative Study of Convolutional Neural Network Architectures for Estimating the Depth of Vein Structures in Near-Infrared Transillumination Imaging
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
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
Estimating the depth of surface flaws by penetrant testing
Sign Up to like & getrecommendations! Published in 2017 at "Russian Journal of Nondestructive Testing"
DOI: 10.1134/s1061830917030044
Abstract: Experimental dependences are provided for the time growth of the areas of the indications of surface dead-end and through flaws with openings of 1–15 μm and depths of up to 12 mm during development under… read more here.
Keywords: depth surface; testing estimating; estimating depth; surface flaws ... See more keywords
Sample entropy analysis for the estimating depth of anaesthesia through human EEG signal at different levels of unconsciousness during surgeries
Sign Up to like & getrecommendations! Published in 2018 at "PeerJ"
DOI: 10.7717/peerj.4817
Abstract: Estimating the depth of anaesthesia (DoA) in operations has always been a challenging issue due to the underlying complexity of the brain mechanisms. Electroencephalogram (EEG) signals are undoubtedly the most widely used signals for measuring… read more here.
Keywords: depth anaesthesia; levels unconsciousness; different levels; analysis ... See more keywords