Brain Stroke Detection System Based on CT Image by using Deep Learning

Usha D; Parveen A; Thanuj Kumar T; Soma Sekhar R; Bhanu Prakash K

Brain Stroke Detection System Based on CT Image by using Deep Learning

Author(s)	Ms. Usha D, Ms. Parveen A, Mr. Thanuj Kumar T, Mr. Soma Sekhar R, Bhanu Prakash K
Country	India
Abstract	Brain stroke detection is a critical medical process requiring prompt and accurate to facilitate effective treatment.This project Brain Stroke Detection System based on CT Image using Deep Learning leverages advanced computational techniques to enhance the accuracy and efficiency of stroke diagnosis from CT images.The system is developed using python for the backend with Flask serving as the web framework.The user interface is crafted with HTML,CSS and JavaScript ensuring an intuitive and responsive experience for medical professionals.Two distinct deep learning models are employed to analyze the CT images:a Convolutional Neural Network(CNN) and a Long Short-Term Memory(LSTM)network.The CNN model architecture chosen for its powerful image processing capabilities achieves a remarkable training accuracy of 99.00% and a validation accuracy of 98.00%.This high level of accuracy underscores the model’s robustness in detection stroke indicators from CT images.Complementing this the LSTM architecture known for its effectiveness in handling sequential data achieves a training accuracy of 99.00% and a validation accuracy of 95.00%.Although slightly lower than the CNN the LSTM model contributes additional insights enhancing the overall detection system’s reliability.The dataset utilized in this project comprises 2,501 CT images of normal brains and 950 images showing stroke conditions.This balanced and diverse dataset ensures that the models are trained on a wide variety of cases promoting generalizability and reducing the risk of overfitting.The integration of these technologies results in a sophisticated brain stroke detection system that not only boasts high accuracy but also promises scalability and practically utility in clinical settings.This project demonstrates the potential of deep learning in medical diagnostics offering a tool that can significantly aid healthcare professionals in the precise identification of brain strokes
Keywords	Brain Stroke Detection,CT scan Images,Deep Leraning,Convolutional Neural Network(CNN) Medical Image Processing,Feature Extraction
Field	Engineering
Published In	Volume 17, Issue 2, April-June 2026
Published On	2026-04-03

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Brain Stroke Detection System Based on CT Image by using Deep Learning

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