DDSNet: Deep Dual-branch Networks for Surface Defect Segmentation

Z Yin, L Qin, G Han, X Shi, F Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Semantic segmentation of surface defects is essential to ensure product quality in intelligent
manufacturing. However, due to the diversity and complexity of industrial scenarios and …

An Adversarial Training Framework Based on Unsupervised Feature Reconstruction Constraints for Crystalline Silicon Solar Cells Anomaly Detection

N Zhu, J Wang, Y Zhang, H Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Photovoltaic (PV) power generation has risen prominently across the globe. However, the
functioning of PV systems can be substantially diminished by defective solar cells …

Image Reconstruction with B0 Inhomogeneity using a Deep Unrolled Network on an Open-bore MRI-Linac

S Shan, Y Gao, D Waddington, H Chen… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
MRI-Linac systems require fast image reconstruction with high geometric fidelity to localize
and track tumors for radiotherapy treatments. However, B0 field inhomogeneity distortions …

Just Noticeable Difference-Guided Multi-Path Deep Attention Network for Microaneurysm Segmentation in Fundus Images

PR Bhargav, NB Puhan - IEEE Transactions on Instrumentation …, 2024 - ieeexplore.ieee.org
In this article, we propose parameter-free just noticeable difference (JND)-based attention
module (JbAM), a JND-based attention module to accurately segment microaneurysms …

[HTML][HTML] A combination network based on graph modules for cardiac segmentation

S Lin, Q Fan, D Zhang - Journal of Radiation Research and Applied …, 2024 - Elsevier
Background Cardiac segmentation plays a crucial role in extracting cardiac substructures
from computed tomography images, providing necessary information for subsequent cardiac …

2MSPK-Net: A nuclei segmentation network based on multi-scale, multi-dimensional attention, and SAM prior knowledge

G Yue, X Ma, W Li, Z An, C Yang - Biomedical Signal Processing and …, 2025 - Elsevier
Refined nuclei segmentation is of great significance for diagnosing the pathological
conditions of tumor tissues. Although existing encoder–decoder networks have achieved …

TransSea: Hybrid CNN-Transformer with Semantic Awareness for 3D Brain Tumor Segmentation

Y Liu, Y Ma, Z Zhu, J Cheng… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Accurate segmentation of brain tumors in multimodal MRI plays a crucial role in clinical
quantitative assessments, diagnostic processes, and the planning of therapeutic strategies …

How good nnU-Net for Segmenting Cardiac MRI: A Comprehensive Evaluation

M Gunawardhana, F Xu, J Zhao - arXiv preprint arXiv:2408.06358, 2024 - arxiv.org
Cardiac segmentation is a critical task in medical imaging, essential for detailed analysis of
heart structures, which is crucial for diagnosing and treating various cardiovascular …