DBGANet: dual-branch geometric attention network for accurate 3D tooth segmentation
Z Lin, Z He, X Wang, B Zhang, C Liu… - … on Circuits and …, 2023 - ieeexplore.ieee.org
Accurate segmentation of 3D dental models derived from intra-oral scanners (IOS) is one of
the key steps in many digital dental applications such as orthodontics and implants …
the key steps in many digital dental applications such as orthodontics and implants …
A systematic review of deep learning approaches for surface defect detection in industrial applications
Detecting surface defects plays a crucial role in ensuring the quality, functionality, and
security of the production process. Traditional image processing techniques and machine …
security of the production process. Traditional image processing techniques and machine …
Lightweight context-aware network using partial-channel transformation for real-time semantic segmentation
Optimizing the computational efficiency of the artificial neural networks is crucial for resource-
constrained platforms like autonomous driving systems. To address this challenge, we …
constrained platforms like autonomous driving systems. To address this challenge, we …
A dynamic weights-based wavelet attention neural network for defect detection
J Liu, H Zhao, Z Chen, Q Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Automatic defect detection plays an important role in industrial production. Deep learning-
based defect detection methods have achieved promising results. However, there are still …
based defect detection methods have achieved promising results. However, there are still …
Quantitative pharmacokinetic parameter Ktrans map assists in regional segmentation of nasopharyngeal carcinoma in dynamic contrast-enhanced magnetic …
J Huang, S Yang, L Zou, Y Chen, L Yang, B Yao… - … Signal Processing and …, 2024 - Elsevier
Accurate segmentation of nasopharyngeal carcinoma (NPC) lesion areas from dynamic
contrast-enhanced magnetic resonance imaging (DCE-MRI) facilitates subsequent …
contrast-enhanced magnetic resonance imaging (DCE-MRI) facilitates subsequent …
A pixel-level segmentation convolutional neural network based on global and local feature fusion for surface defect detection
Surface defect detection (SDD) is a fundamental task in the smart industry to ensure product
quality. Due to the complexity and diversity of the industrial scenes and the low contrast and …
quality. Due to the complexity and diversity of the industrial scenes and the low contrast and …
Correlation-aware attention CycleGAN for accurate fetal ECG extraction
X Wang, Z He, Z Lin, Y Han, W Su… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The fetal electrocardiogram (FECG) is of great significance for fetal monitoring during
peripartum and intrapartum. However, it is difficult to extract FECG signals from the …
peripartum and intrapartum. However, it is difficult to extract FECG signals from the …
Strip surface defect detection algorithm based on YOLOV5
H Wang, X Yang, B Zhou, Z Shi, D Zhan, R Huang… - Materials, 2023 - mdpi.com
In order to improve the detection accuracy of the surface defect detection of industrial hot
rolled strip steel, the advanced technology of deep learning is applied to the surface defect …
rolled strip steel, the advanced technology of deep learning is applied to the surface defect …
Feature matching driven background generalization neural networks for surface defect segmentation
In this paper, we address the challenge of background generalization in surface defect
segmentation for surface-mounted device chips, particularly focusing on template-sample …
segmentation for surface-mounted device chips, particularly focusing on template-sample …
Dual-convolutional neural network-enhanced strain estimation method for optical coherence elastography
Strain estimation is vital in phase-sensitive optical coherence elastography (PhS-OCE). In
this Letter, we introduce a novel, to the best of our knowledge, method to improve strain …
this Letter, we introduce a novel, to the best of our knowledge, method to improve strain …