This repository contains MATLAB code for remotely controlling a Vector Network Analyzer (VNA) to perform measurements on a head phantom equipped with an antenna helmet. The project aims to collect extensive data across multiple stroke configurations and phantom inclinations.

Репозиторий реализует модели глубокого обучения для обнаружения ишемического инсульта на FLAIR МРТ-сканах путём анализа симметрии между полушариями мозга. Подход сочетает 2D/3D-CNN и топологический анализ данных для интерпретируемой диагностики.

Sleek UI with fine-tuned model using PyTorch based YOLOv7 application for stroke detection and monitoring old patients and targets at risk.

NeuroStroke AI: An open-source deep learning system for automated brain stroke detection from CT scans. Features CNN with VGG19 transfer learning, achieving 92% accuracy. Includes interactive web interface built with Streamlit. Empowering healthcare with AI. 🧠💙 #HealthcareAI #DeepLearning

A stroke detection project developed using R.