2 papers
eess.IV2023
Scale-aware Super-resolution Network with Dual Affinity Learning for Lesion Segmentation from Medical Images
Yanwen Li, Luyang Luo, Huangjing Lin +2
Convolutional Neural Networks (CNNs) have shown remarkable progress in medical image segmentation. However, lesion segmentation remains a challenge to state-of-the-art CNN-based al…
physics.flu-dyn2023
HL-nets: Physics-informed neural networks for hydrodynamic lubrication with cavitation
Yiqian Cheng, Qiang He, Weifeng Huang +3
Recently, physics-informed neural networks (PINNs) have emerged as a promising method for solving partial differential equations (PDEs). In this study, we establish a deep learning…