A5052404170- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
- Brain Tumor Detection and Classification
- Peripheral Nerve Disorders
- Anesthesia and Pain Management
- Medical Imaging and Analysis
- Soft Robotics and Applications
- Photoacoustic and Ultrasonic Imaging
- Intraoperative Neuromonitoring and Anesthetic Effects
Data Assurance and Communication Security
2022
University of Electronic Science and Technology of China
2019-2022
Brain tumor segmentation plays an important role in diagnosing brain tumor. Nowadays, intense interest has been received applying convolution neural networks medical image analysis, but its performance is restricted by the limitation of depth network. And how to accelerate information propagation and make full use all hierarchical features network also vital importance. To address these problems, this paper proposed Deep Residual Dilate Network with Middle Supervision (RDM-Net), which...
Due to the complexity of anatomical structure for human organs, medical image segmentation is always a challenging computer vision task. The Convolutional Neural Network (CNN) requires rich feature representation, which not only needs convolutional layers from shallow deep,but also resolution small large. Although CNN can be used fuse mid-level features that are employed short-cutting, this just simple "shallow" connection. Thus, how obtain useful and utilize these improve processes still...
The identification of nerve is difficult as structures nerves are challenging to image and detect in ultrasound images. Nevertheless, the images a crucial step improve performance regional anesthesia. In this paper, network called Brachial Plexus Multi-instance Segmentation Network (BPMSegNet) proposed identify different tissues (nerves, arteries, veins, muscles) BPMSegNet has three novel modules. first spatial local contrast feature, which computes features at scales. second one...