Multiscale dense convolutional neural network for DSA cerebrovascular segmentation
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.10.035
Abstract: Abstract Accurate cerebrovascular segmentation in Digital Subtraction Angiography (DSA) image, as an indispensable step, can help doctors appropriately estimate the degree of cerebrovascular lesions to avoid misdiagnosis. Because of the complexity of cerebrovascular structure and… read more here.
Keywords: segmentation; dsa; multiscale dense; convolutional neural ... See more keywords
Underwater Image Enhancement Using a Multiscale Dense Generative Adversarial Network
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Journal of Oceanic Engineering"
DOI: 10.1109/joe.2019.2911447
Abstract: Underwater image enhancement has received much attention in underwater vision research. However, raw underwater images easily suffer from color distortion, underexposure, and fuzz caused by the underwater scene. To address the above-mentioned problems, we propose… read more here.
Keywords: dense generative; multiscale dense; dense; image enhancement ... See more keywords
Hierarchical Multiscale Dense Networks for Intelligent Fault Diagnosis of Electromechanical Systems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3150872
Abstract: Deep learning, which is characterized by its powerful feature extraction capabilities, has been widely used in the field of mechanical fault diagnosis. Traditional deep learning models usually perform feature extraction at a single-scale level, which… read more here.
Keywords: fault diagnosis; electromechanical systems; multiscale dense; hierarchical multiscale ... See more keywords