This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...

Abstract: This work presents a high-accuracy 3D Residual Convolutional Neural Network (3D-ResCNN) model for lung nodule detection from low-dose chest CT (LDCT) scans, with volumetric residual learning ...

Abstract: Three-dimensional (3D) data analysis, especially 3D reconstruction, is critical within integrated circuits for quality control and inspection. The traditional 3D reconstruction, like ...