Скачать или смотреть Brain Stroke Detection System based on CT images using Deep Learning | Python IEEE Project

Brain Stroke Detection System based on CT images using Deep Learning | Python IEEE Project 2024 - 2025.
🛒Buy Link: https://bit.ly/3XUthAF
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🔗Email: [email protected],
🌐Website: https://www.jpinfotech.org

📌Project Title: Brain Stroke Detection System based on CT images using Deep Learning.
💡Implementation: Python.
🔬Algorithm / Model Used: CNN Model Architecture and LSTM Architecture.
🌐Web Framework: Flask.
🖥️Frontend: HTML, CSS, JavaScript.
💰Cost (In Indian Rupees): Rs.5000/

📘Project Abstract:
Brain stroke detection is a critical medical process requiring prompt and accurate diagnosis to facilitate effective treatment. This project, "Brain Stroke Detection System based on CT Images 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.

📌IEEE BASE PAPER TITLE: Innovations in Stroke Identification: A Machine Learning-Based Diagnostic Model Using Neuroimages.

📌REFERENCE:
M. A. Saleem et al., "Innovations in Stroke Identification: A Machine Learning-Based Diagnostic Model Using Neuroimages," in IEEE Access, vol. 12, pp. 35754-35764, 2024, doi: 10.1109/ACCESS.2024.3369673, IEEE 2024.


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