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Chapter and Conference Paper
A Method for Space Tracking and Positioning of Surgical Instruments in Virtual Surgery Simulation
As the unique interface for users to communicate with virtual environment, space tracking and positioning apparatus of surgical instruments is an indispensable part of virtual surgery simulation system. A meth...
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Chapter and Conference Paper
A Robust Physics-Based 3D Soft Tissue Parameters Estimation Method for War** Dynamics Simulation
Soft tissue war** is one of the key technologies in dynamic simulation of many surgical procedures. To achieve high performance simulation of 3D soft tissue war**, the research of physical parameters estim...
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Article
Parallel computing of 3D smoking simulation based on OpenCL heterogeneous platform
Open Computing Language (OpenCL) is an open royalty-free standard for general purpose parallel programming across Central Processing Units (CPUs), Graphic Processing Units (GPUs) and other processors. This pap...
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Chapter and Conference Paper
Coupled Tissue Bleeding Simulation in Virtual Surgery
Tissue bleeding simulation is the key problem in virtual surgery, which greatly reduces the risk of real surgery. It also plays an important role in the application of fluid-solid coupling. Traditional methods...
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Chapter and Conference Paper
Improved Compressed Sensing Based 3D Soft Tissue Surface Reconstruction
This paper presents a 3D soft tissue surface reconstruction method based on improved compressed sensing and radial basis function interpolation for a small amount of uniform sampling data points on 3D surface....
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Chapter and Conference Paper
3D Deeply-Supervised U-Net Based Whole Heart Segmentation
Accurate whole-heart segmentation from multi-modality medical images (MRI, CT) plays an important role in many clinical applications, such as precision surgical planning and improvement of diagnosis and treatm...
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Chapter and Conference Paper
Multipath Densely Connected Convolutional Neural Network for Brain Tumor Segmentation
This paper presents a novel Multipath Densely Connected Convolutional Neural Network (MDCNN) for automatically segmenting glioma with unknown sizes, shapes and positions. Our network architecture is based on t...
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Chapter and Conference Paper
Attention Based Hierarchical Aggregation Network for 3D Left Atrial Segmentation
Atrial fibrillation (AF) is the most common type of cardiac arrhythmia. The atrial segmentation is essential for the understanding of the human atria structure which is vital to the AF treatment. In this paper...
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Article
Open AccessMixed reality based respiratory liver tumor puncture navigation
This paper presents a novel mixed reality based navigation system for accurate respiratory liver tumor punctures in radiofrequency ablation (RFA). Our system contains an optical see-through head-mounted displa...
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Chapter and Conference Paper
Multi-BERT-wwm Model Based on Probabilistic Graph Strategy for Relation Extraction
As the core work of information extraction, relation extraction aims to find medical entity pairs with relations from the medical records. The current methods of relation extraction either ignore the relevance...
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Chapter and Conference Paper
Progressive Frequency-Aware Network for Laparoscopic Image Desmoking
Laparoscopic surgery offers minimally invasive procedures with better patient outcomes, but smoke presence challenges visibility and safety. Existing learning-based methods demand large datasets and high compu...
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Article
Open AccessPlaqueNet: deep learning enabled coronary artery plaque segmentation from coronary computed tomography angiography
Cardiovascular disease, primarily caused by atherosclerotic plaque formation, is a significant health concern. The early detection of these plaques is crucial for targeted therapies and reducing the risk of ca...