Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory, forward propagation, backpropagation, and coding step by step for a hands ...
Abstract: How can local and global features be comprehensively considered to optimize dense prediction tasks, like medical image segmentation? To overcome this problem, this study showed an ...
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 ...