A5051786184- Medical Image Segmentation Techniques
- History, Medicine, and Leadership
- Flow Measurement and Analysis
- Advanced Neural Network Applications
- Radiomics and Machine Learning in Medical Imaging
- Retinal Imaging and Analysis
- Advanced Image Processing Techniques
- Optical Coherence Tomography Applications
- Photoacoustic and Ultrasonic Imaging
- Electrical and Bioimpedance Tomography
Shanghai Jiao Tong University
2024
Harbin University of Science and Technology
2021-2023
<abstract> <p>The existing 2D/3D strategies still have limitations in human liver and tumor segmentation efficiency. Therefore, this paper proposes a 2.5D network combing cascaded context module (CCM) Ladder Atrous Spatial Pyramid Pooling (L-ASPP), named CCLNet, for automatic from CT. First, we utilize the mode to improve training efficiency; Second, employ ResNet-34 as encoder enhance accuracy. Third, L-ASPP is used enlarge receptive field. Finally, CCM captures more local...
Image super-resolution is getting popularity these days in diverse fields, such as medical applications and industrial applications. The accuracy imperative on image super-resolution. traditional approaches for local edge feature point extraction algorithms are merely based points images. used to calculate the geometric center of gravity line when it near, resulting a low recall rate unreliable results. In order overcome problems lower existing system, an attempt made this research work...
For the problems of low sensitivity, weak signal high and frequency signal-to-noise ratio in ECT, mathematical model sensor is established. From aspects electrostatic field distribution soft effect, influence structural parameters on performance analyzed. According to components principle optimal design put forward. Based optimized Landweber image reconstruction algorithm, an ART algorithm with iterative correction proposed, designed. constructing target functional regularization term...