A Huang, L Jiang, J Zhang, Q Wang - Quantitative imaging in …, 2022 - ncbi.nlm.nih.gov
Background Ultrasonography—an imaging technique that can show the anatomical section of nerves and surrounding tissues—is one of the most effective imaging methods to …
OK Oyedotun, K Al Ismaeil… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Recent deep neural networks (DNNs) with several layers of feature representations rely on some form of skip connections to simultaneously circumnavigate optimization problems and …
M Chen, YF Pu, YC Bai - Neurocomputing, 2021 - Elsevier
In this work, we propose a Fractional-order Residual Convolutional Neural Network (FRCNN) for Low-Dose CT (LDCT) denoising. As increasing the dose of radiation is harmful …
H Iyer, H Jeong - IEEE Access, 2024 - ieeexplore.ieee.org
Near-duplicate human motion classification presents significant challenges due to the subtle differences and high similarity between actions. This paper introduces a posture estimation …
State-of-the-art deep neural networks (DNNs) typically consist of several layers of features representations, and especially rely on skip connections to avoid the difficulty of model …
C Zhu, J Liang, F Zhou - Information, 2023 - mdpi.com
Stemming from the overlap of objects and undertraining due to few samples, road dense object detection is confronted with poor object identification performance and the inability to …
Magnetic Resonance Imaging (MRI) is a medical imaging method used to visualize the brain's anatomy, evaluate its function, and identify any abnormalities or disorders without the …
OK Oyedotun, D Aouada… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
Deep neural networks inherently have large representational power for approximating complex target functions. However, models based on rectified linear units can suffer …