Deep Learning with Yacine on MSN

Backpropagation from scratch in Python – step by step neural network tutorial

Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...
Tech Xplore

Novel AI method sharpens 3D X-ray vision

X-ray tomography is a powerful tool that enables scientists and engineers to peer inside of objects in 3D, including computer ...
IEEE

GSFormer: A Gated Skip Connection and Feature Fusion Transformer-based Neural Network for 3D MRI Brain Tumor Segmentation

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 ...
GitHub

Simple Neural Network Models

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 ...
IEEE

Lung Nodule Detection in Low-Dose Chest CT Scan Images Using 3D Residual Convolutional Neural Network Architectures

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 ...