AkramOM606/DeepLearning-CNN-Brain-Stroke-Prediction
This repository contains a Deep Learning model using Convolutional Neural Networks (CNN) for predicting strokes from CT scans. The model aims to assist in early detection and intervention of strokes, potentially saving lives and improving patient outcomes.
This project helps medical professionals identify strokes more quickly and accurately from CT scans. It takes a CT scan image as input and determines whether there are signs of a stroke, providing a prediction that aids in early detection. Radiologists, neurologists, and emergency room physicians would find this useful for improving patient outcomes.
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Use this if you need an automated tool to assist in the rapid screening of CT scans for potential stroke indicators, improving diagnostic speed.
Not ideal if you need a diagnostic tool that provides a definitive diagnosis without human oversight or if you are looking for a system to manage patient records.
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Feb 22, 2025
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