Brain Tumor Classifier

What is Brain Tumor Classifier ?

The Brain Tumor Classifier is a cutting-edge AI-powered tool designed to analyze MRI images for the detection and classification of brain tumors. It leverages advanced machine learning algorithms to provide accurate and reliable results, aiding healthcare professionals in early diagnosis and treatment planning.

Features

• Accurate MRI Image Analysis: The tool is trained on a large dataset of MRI images to detect abnormalities and classify tumors with high precision.
• User-Friendly Interface: Designed for ease of use, the platform allows seamless upload and analysis of MRI scans.
• Fast Processing: Provides quick results, enabling timely medical decisions.
• Multi-Modal Compatibility: Supports various types of MRI scans, including T1, T2, and FLAIR images.
• Data Privacy: Ensures secure handling of patient data in compliance with medical regulations.

How to use Brain Tumor Classifier ?

1. Prepare the MRI Image: Ensure the MRI scan is in a compatible format (e.g., DICOM or NIfTI).
2. Upload the Image: Login to the platform and upload the prepared MRI image.
3. Select Parameters: Choose the type of MRI scan and any additional settings if required.
4. Run Analysis: Click the "Analyze" button to initiate the classification process.
5. Review Results: The tool will display the classification result, indicating the presence and type of tumor if detected.

Frequently Asked Questions

What types of MRI scans does the Brain Tumor Classifier support?
The classifier supports T1-weighted, T2-weighted, and FLAIR MRI images for accurate tumor detection.

How accurate is the Brain Tumor Classifier?
The tool achieves high accuracy due to its training on a large and diverse dataset of brain MRI scans, but it should be used as a diagnostic aid alongside professional medical judgment.

Is patient data secure when using the classifier?
Yes, the platform adheres to strict data protection guidelines, ensuring all patient information remains confidential and secure.