Question 1

What AI models are available and when should I use them?

Accepted Answer

Three AI models are available: Original Detection (Basic) identifies whether a tumor is present — best for quick screening. Tumor Classification Object Detection (Advanced) identifies the specific tumor type (Glioma, Meningioma, or Pituitary) with bounding boxes — best for understanding what type of tumor may be present. Tumor Classification Segmentation (Precision) provides precise tumor boundaries using instance segmentation along with tumor type identification — best for detailed analysis of tumor size, shape, and boundaries.

Question 2

How do I upload MRI images?

Accepted Answer

Supported file types are DICOM (.dcm), PNG, and JPEG/JPG with a maximum file size of 5MB. Click 'Choose File' or drag and drop your file onto the upload area, select a brain MRI scan in one of the supported formats, then wait for the upload confirmation. The system will validate your file and show a preview once successfully uploaded.

Question 3

What should I expect from the AI output?

Accepted Answer

The AI output includes bounding boxes (red rectangles highlighting potential tumor regions), confidence scores (percentages indicating AI certainty — higher means more confident), and label annotations showing 'Tumor' labels with confidence percentages. Analysis typically takes 10–30 seconds depending on image size and complexity. You can download both the original image and the annotated version with detection boxes. This tool is for educational and research purposes only — always consult medical professionals for actual diagnosis.

Question 4

What is the Symptom Consistency Assessment and how is the score calculated?

Accepted Answer

When using classification models, a symptom checklist appears based on the detected tumor type. It calculates a Combined Consistency Score using the formula: Score = (55 x AI Confidence) + (Symptom Points). AI confidence contributes up to 55 points (55% weight) and symptom checkboxes contribute up to 45 points (45% weight), with each symptom weighted based on clinical research. The maximum possible score is 100. This is an educational tool only and not a diagnostic instrument — always consult healthcare professionals.

Question 5

How do I interpret confidence scores in the scan results?

Accepted Answer

Confidence scores indicate how certain the AI is about a detection: 80–100% means very high confidence with a clear detection; 60–79% means good confidence with a likely detection; 40–59% means moderate confidence that requires review; below 40% means low confidence that may be a false positive.

Question 6

What are the technical specifications and limitations of the platform?

Accepted Answer

The AI is powered by advanced computer vision technology trained on medical imaging datasets and optimised for brain MRI tumor detection. Key limitations: it is not certified for clinical diagnosis; performance may vary with image quality; best results are achieved with standard brain MRI sequences; and it may produce false positives or miss subtle abnormalities.

Question 7

How do I troubleshoot common issues?

Accepted Answer

For upload issues: ensure the file is under 5MB, check the file format (DICOM, PNG, or JPEG only), and try refreshing the page and uploading again. For processing delays: large files may take longer, high server load can cause delays, and you should wait at least 60 seconds before refreshing. If no detections are found: this may indicate no abnormalities were detected, ensure the image clearly shows brain tissue, and try a different image or scan slice.

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