Joint Sparse Representations and Coupled Dictionary Learning in Multi-Source Heterogeneous Image Pseudo-color Fusion
Considering that coupled dictionary learning (CDL) method can obtain a reasonable linear
mathematical relationship between resource images, we propose a novel CDL-based …
mathematical relationship between resource images, we propose a novel CDL-based …
Data-driven 3D Tactile Cues with Intermediate Soft Interfaces towards Training Needle Insertions
During the training of medical operators, forming muscle memory through repetitions is a
routine path. Needle insertion is a fundamental skill for all medical staff. However, such …
routine path. Needle insertion is a fundamental skill for all medical staff. However, such …
Detail-sensitive 3D-UNet for pulmonary airway segmentation from CT images
Q Zhang, J Li, X Nan, X Zhang - Medical & Biological Engineering & …, 2024 - Springer
The segmentation of airway from computed tomography (CT) images plays a vital role in
pulmonary disease diagnosis, evaluation, surgical planning, and treatment. Nevertheless, it …
pulmonary disease diagnosis, evaluation, surgical planning, and treatment. Nevertheless, it …
An end-to-end multi-scale airway segmentation framework based on pulmonary CT image
Y Yuan, W Tan, L Xu, N Bao, Q Zhu… - Physics in Medicine & …, 2024 - iopscience.iop.org
Objective. Automatic and accurate airway segmentation is necessary for lung disease
diagnosis. The complex tree-like structures leads to gaps in the different generations of the …
diagnosis. The complex tree-like structures leads to gaps in the different generations of the …
[HTML][HTML] 3D pulmonary vessel segmentation based on improved residual attention u-net
J Han, N He, Q Zheng, L Li, C Ma - Medicine in Novel Technology and …, 2023 - Elsevier
Automatic segmentation of pulmonary vessels is a fundamental and essential task for the
diagnosis of various pulmonary vessels diseases. The accuracy of segmentation is suffering …
diagnosis of various pulmonary vessels diseases. The accuracy of segmentation is suffering …
Brain Tumor Segmentation in MRI Images with 3D U-Net and Contextual Transformer
TQT Nguyen, HN Nguyen, TH Bui… - arXiv preprint arXiv …, 2024 - arxiv.org
This research presents an enhanced approach for precise segmentation of brain tumor
masses in magnetic resonance imaging (MRI) using an advanced 3D-UNet model …
masses in magnetic resonance imaging (MRI) using an advanced 3D-UNet model …
BRONCO: Automated modelling of the bronchovascular bundle using the Computed Tomography Images
Segmentation of the bronchovascular bundle within the lung parenchyma is a key step for
the proper analysis and planning of many pulmonary diseases. It might also be considered …
the proper analysis and planning of many pulmonary diseases. It might also be considered …
VascularPilot3D: Toward a 3D fully autonomous navigation for endovascular robotics
S Jingwei, Y Keke, C Han, L Jiayi, G Yinan… - arXiv preprint arXiv …, 2024 - arxiv.org
This research reports VascularPilot3D, the first 3D fully autonomous endovascular robot
navigation system. As an exploration toward autonomous guidewire navigation …
navigation system. As an exploration toward autonomous guidewire navigation …