A5052499065- Advanced Memory and Neural Computing
- DNA and Biological Computing
- Advanced Optical Sensing Technologies
- Advanced Computing and Algorithms
- Neural Networks and Applications
- Neural dynamics and brain function
- Image Processing Techniques and Applications
- Underwater Vehicles and Communication Systems
- Brain Tumor Detection and Classification
- Neural Networks and Reservoir Computing
Xihua University
2022-2025
Nonlinear spiking neural P (NSNP) systems are a class of neural-like computational models inspired from the nonlinear mechanism neurons. NSNP have distinguishing feature: mechanism. To handle edge detection images, this paper proposes variant, with two outputs (TO), termed as NSNP-TO systems. Based on system, an framework is developed, ED-NSNP detector. The ability detector relies convolutional kernels. obtain good performance, particle swarm optimization (PSO) used to optimize parameters...
Deep learning technology has been successfully used in Chest X-ray (CXR) images of COVID-19 patients. However, due to the characteristics pneumonia and imaging, deep methods still face many challenges, such as lower imaging quality, fewer training samples, complex radiological features irregular shapes. To address these this study first introduces an extensive NSNP-like neuron model, then proposes a multitask adversarial network architecture based on ENSNP-like neurons for chest COVID-19,...
Due to the differences in size, shape, and location of brain tumors, tumor segmentation differs greatly from that other organs. The purpose is accurately locate segment tumors MRI images assist doctors diagnosis, treatment planning surgical navigation. NSNP-like convolutional model a new neural-like inspired by nonlinear spiking mechanism neural P (NSNP) systems. Therefore, this paper proposes global-local feature fusion network based on for segmentation. To end, we have designed three...