![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
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...
-
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...
-
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...
-
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...
-
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...